Saadah Al-Khatib | Computational Mechanics | Research Excellence Award

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Research Excellence Award

Saadah Al-Khatib
University of Jeddah, Saudi Arabia

Saadah Al-Khatib
Affiliation University of Jeddah
Country Saudi Arabia
Google Scholar ID Oyk9nCwAAAAJ
Documents 45
Citation 849
h-index 14
Subject Area Computational Mechanics
Event Engineering Scientist Awards

Saadah Al-Khatib is a researcher affiliated with the University of Jeddah whose scholarly work spans computational mechanics, advanced structural theories, nonlinear wave phenomena, functionally graded materials, and mathematical modelling. The available research profile indicates 45 documents, 849 citations, and an h-index of 14. The publication record includes studies addressing the vibration and mechanical response of advanced composite and functionally graded structures, as well as analytical investigations of nonlinear wave and plasma models. The breadth of these topics provides a basis for evaluating research activity across computational mechanics and related mathematical engineering fields. [1]

Abstract

This academic recognition profile presents the research activities and publication record of Saadah Al-Khatib in the field of computational mechanics and associated mathematical and engineering sciences. The research portfolio includes computational and analytical approaches for functionally graded and composite structures, vibration analysis, refined plate and beam theories, nonlinear differential equations, soliton dynamics, and plasma-related wave phenomena. Selected publications demonstrate the application of mathematical formulations, finite-element techniques, and analytical solution methods to problems involving advanced materials and nonlinear physical systems. [1] [2] [3]

Keywords

Computational Mechanics; Functionally Graded Materials; Finite Element Analysis; Structural Mechanics; Vibration Analysis; Composite Structures; Plate Theory; Beam Theory; Nonlinear Waves; Soliton Dynamics; Mathematical Modelling; Plasma Physics; Nonlinear Differential Equations; Hygo-thermal Analysis; Advanced Materials.

Introduction

Computational mechanics combines mathematical modelling, numerical methods, computational algorithms, and mechanics to investigate the behaviour of complex physical systems. Within structural engineering and applied mathematics, refined computational approaches are particularly relevant to composite materials and functionally graded materials, where material properties can vary continuously through a structure. Research on these systems commonly examines vibration, deformation, stability, thermal effects, and coupled environmental influences.

Research Profile

The research profile is centered on computational mechanics, with substantial emphasis on mathematical and computational descriptions of advanced structural and physical systems. The reported publication metrics comprise 45 documents, 849 citations, and an h-index of 14. These figures provide bibliometric indicators of scholarly output and citation activity, while the underlying publications provide more detailed evidence of the subjects and methods represented in the research portfolio. [1]

  • Computational mechanics: Mathematical and numerical approaches are used to analyse complex mechanical and physical systems.
  • Functionally graded materials: Research includes structural modelling and vibration analysis of FGM beams, plates, and related composite configurations. [2]
  • Finite-element methods: Refined finite-element formulations are applied to structural vibration and mechanical response problems. [2]

Research Contributions

The selected publications indicate several interconnected areas of research contribution. In computational structural mechanics, the work on FGM layered beams examines free vibration through multiple structural theories and finite-element formulations. The study considers different displacement descriptions and structural configurations and reports natural-frequency results for comparison with existing literature. [2]

Publications

Selected publications associated with the researcher include studies in composite structures, nonlinear optics, structural mechanics, ocean engineering and science, and mathematical plasma physics. The following list is based on the publication information supplied for this profile.

The publications reflect a strong research profile spanning advanced composite structures, functionally graded materials, plate and beam theories, nonlinear wave phenomena, soliton dynamics, and plasma physics. The work combines mathematical modeling, analytical techniques, and finite-element approaches to address complex engineering and physical systems, with publications appearing in recognized journals such as Composites Part B: Engineering, Composite Structures, Optik, and the Journal of Taibah University for Science.

Research Impact

The reported citation profile comprises 849 citations and an h-index of 14 across 45 documents. These indicators suggest that the research output has received sustained scholarly attention, although bibliometric measures should be interpreted in relation to publication age, field-specific citation practices, collaboration patterns, and database coverage. [1]

The interdisciplinary character of the publications is also relevant to research impact. Applications span advanced composite structures, finite-element analysis, nonlinear optics, ocean-related nonlinear wave modelling, and plasma physics, allowing methodological approaches from applied mathematics and mechanics to be used across different scientific contexts. [2] [4] [5]

Award Suitability

Based on the supplied research profile, Saadah Al-Khatib demonstrates several characteristics relevant to consideration for a Research Excellence Award within an engineering and scientific recognition programme. The assessment is based on the stated publication metrics, research subject area, selected publications, and evidence of scholarly activity rather than on an independent award adjudication.

  • Research productivity: The profile reports 45 research documents, indicating an established body of scholarly output.
  • Scholarly visibility: The reported 849 citations and h-index of 14 provide bibliometric evidence of citation activity. [1]
  • Methodological breadth: The publications employ finite-element analysis, refined structural theories, analytical solution methods, and nonlinear mathematical modelling.

On the basis of these documented characteristics, the profile can reasonably be considered relevant to a research excellence recognition category focused on computational mechanics and interdisciplinary engineering science. Final award eligibility and selection should remain subject to the formal criteria, verification procedures, and independent evaluation established by the Engineering Scientist Awards programme.

Conclusion

Saadah Al-Khatib’s research profile reflects an established programme of scholarly work involving computational mechanics, functionally graded and composite structures, refined structural theories, finite-element analysis, and nonlinear mathematical modelling. The reported metrics of 45 documents, 849 citations, and an h-index of 14 provide quantitative indicators of research activity, while the selected publications illustrate the technical and interdisciplinary scope of the work. [1]

The combination of computational structural research and mathematical investigations of nonlinear physical systems provides a broad academic profile. The selected publications offer evidence of contributions to vibration analysis, advanced plate and beam modelling, nonlinear wave theory, and plasma-related mathematical physics. [2] [3] [4] [5]

References

  1. Google Scholar. Research profile: Saadah Al-Khatib, Google Scholar ID Oyk9nCwAAAAJ.
    https://scholar.google.com/citations?hl=en&user=Oyk9nCwAAAAJ
  2. Mashat, D. S., Carrera, E., Zenkour, A. M., Al Khateeb, S. A., & Filippi, M. (2014). Free vibration of FGM layered beams by various theories and finite elements. Composites Part B: Engineering, 59, 269–278.
    DOI: https://doi.org/10.1016/j.compositesb.2013.12.008
  3. Al Khateeb, S. A., & Zenkour, A. M. (2014). A refined four-unknown plate theory for advanced plates resting on elastic foundations in hygrothermal environment. Composite Structures, 111, 240–248.
    DOI: https://doi.org/10.1016/j.compstruct.2013.12.033
  4. Albalawi, W., El-Tantawy, S. A., & Alkhateeb, S. A. (2022). The phase shift analysis of the colliding dissipative KdV solitons. Journal of Ocean Engineering and Science, 7(6), 521–527.
    DOI: https://doi.org/10.1016/j.joes.2021.09.021
  5. Alkhateeb, S. A., Hussain, S., Albalawi, W., El-Tantawy, S. A., & El-Awady, E. I. (2023). Dissipative Kawahara ion-acoustic solitary and cnoidal waves in a degenerate magnetorotating plasma. Journal of Taibah University for Science, 17(1), Article 2187606.
    DOI: https://doi.org/10.1080/16583655.2023.2187606
  6. Eslami, M., Mirzazadeh, M., Fathi-Vajargah, B., & Biswas, A. (2014). Optical solitons for the resonant nonlinear Schrödinger’s equation with time-dependent coefficients by the first integral method. Optik – International Journal for Light and Electron Optics, 125(13), 3107–3116.
    DOI: https://doi.org/10.1016/j.ijleo.2014.01.013

Jun Dai | Structural Engineering | Best Researcher Award

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Dr. Jun Dai | Structural Engineering
| Best Researcher Award

Dr. Jun Dai | Northeastern University | China

Dr. Jun Dai is a Professor and Doctoral Supervisor at Northeastern University, recognized as a rising leader in civil engineering research. A candidate of the Jiangsu Provincial Young Science and Technology Talent Support Program, he is a core member of the Vibration Dynamics and Intelligent Disaster Prevention Research Institute. His expertise lies in developing advanced vibration control strategies, multi-hazard defense systems, and broadband isolation technologies that have been widely applied in major infrastructure projects. With a strong record of scientific contributions, including numerous SCI-indexed publications, patents, and leadership roles in professional organizations, he has earned a reputation for excellence in both theoretical innovation and engineering practice. Dr. Dai actively contributes to advancing intelligent construction and disaster prevention engineering.

Professional Profile 

Scopus

Suitability for the Best Researcher Award

Dr. Jun Dai exceptional research achievements and leadership in civil engineering make him a strong candidate for the Best Researcher Award. His innovative work has advanced vibration control systems, intelligent disaster prevention solutions, and multi-dimensional vibration isolation, directly benefiting infrastructure resilience and safety. He has successfully led high-impact projects funded by national programs and foundations, translating research into real-world applications such as bridges, towers, and wind tunnels. His scientific contributions include widely cited publications, patents, and the development of industry standards, showcasing his ability to bridge theory and practice. Dr. Dai’s influence extends internationally through editorial board roles, conference leadership, and peer review contributions, demonstrating his dedication to global engineering innovation and knowledge dissemination.

Education 

Dr. Jun Dai holds dual doctoral degrees in Civil Engineering, having completed joint training at Purdue University and earning his Ph.D. from Southeast University, China. His academic training combined advanced structural engineering knowledge with extensive research in vibration dynamics and disaster prevention. This diverse educational background provided him with an international perspective and strong interdisciplinary expertise. Through rigorous coursework, collaborative research, and hands-on experimentation, Dr. Dai gained mastery of structural mechanics, intelligent control systems, and advanced engineering design. His studies laid a solid foundation for his innovative contributions to infrastructure resilience and multi-hazard defense. The integration of global research experience and deep theoretical knowledge has shaped him into a forward-thinking researcher and educator with a passion for engineering innovation.

Work Experience 

Dr. Jun Dai is a leading researcher and educator with extensive experience in structural vibration control and intelligent disaster prevention. At Northeastern University, he serves as Professor, Doctoral Supervisor, and a key member of the Vibration Dynamics and Intelligent Disaster Prevention Research Institute. He has led multiple national research initiatives, collaborated with prominent engineering institutions, and contributed to the design and safety enhancement of large-scale infrastructure. Dr. Dai’s expertise extends to applied engineering, with significant contributions to bridge vibration control, wind tunnel testing systems, and transmission tower safety. His leadership in organizing academic conferences, serving on technical committees, and participating in professional societies highlights his dedication to advancing civil engineering research, mentoring future scholars, and driving technological innovation.

Awards and Honors

Dr. Jun Dai has earned numerous prestigious awards and recognitions for his groundbreaking contributions to vibration control and disaster prevention engineering. His work has been honored with national-level invention and innovation awards, reflecting its scientific and practical value. He has received top academic prizes for outstanding research achievements, including recognition for his doctoral dissertation. His innovations have also gained international acclaim, earning distinction at global exhibitions of inventions. Dr. Dai’s accomplishments demonstrate a rare combination of academic excellence, engineering innovation, and real-world impact. Beyond awards, he holds editorial board positions and contributes as a reviewer for leading journals, further underscoring his influence on the global engineering research community. These achievements showcase his leadership and commitment to advancing science.

Research Focus 

Dr. Jun Dai research centers on advancing intelligent solutions for vibration control and disaster prevention in large-scale infrastructure. His work explores ultra-low-frequency tuned damping systems, multi-dimensional vibration isolation, and active control strategies to enhance the resilience and safety of engineering structures. He integrates theoretical modeling, experimental validation, and engineering applications to address complex challenges in multi-hazard environments. His research has been successfully applied to critical projects involving bridges, towers, and wind tunnel testing systems, showcasing its practicality and societal impact. By combining intelligent design principles and cutting-edge technologies, Dr. Dai contributes to safer urban infrastructure and innovative construction practices. His vision is to create adaptive, sustainable engineering solutions that mitigate risks, improve structural performance, and protect communities worldwide.

Publication Top Notes

  • Development and performance evaluation of a novel cost-effective multifunctional fluid tunnel: from coastal atmospheric boundary layer simulation to coupled wind-wave experiments
    Year: 2025

  • Full-Scale Shaking Table Tests on a Four-Story Frame Structure With Multi-Dimensional Earthquake Isolation and Mitigation Devices
    Year: 2025 | Cited by: 1

  • Flutter behavior of functionally graded graphene origami-reinforced auxetic metamaterial composite laminated plates in supersonic flow
    Year: 2025 | Cited by: 12

  • Hybrid simulation testing and energy framework for performance-based assessment of structures under earthquake-fire sequential hazards
    Year: 2025 | Cited by: 7

Conclusion

Dr. Jun Dai embodies the qualities of a Best Researcher Award recipient through his exceptional academic contributions, leadership, and engineering innovations. His pioneering research in vibration control and disaster prevention has made a significant impact on both theory and practice, influencing large-scale infrastructure design and safety standards. His commitment to mentoring students, participating in global scientific discourse, and developing practical solutions demonstrates a rare blend of scholarship and applied expertise. By continuing to expand his international collaborations and interdisciplinary initiatives, Dr. Dai is poised to further advance his field and inspire the next generation of researchers.

Javier Ramírez | Computational Mechanics | Best Researcher Award

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Dr. Javier Ramírez | Mechanics |Best Researcher Award

Professor at Universidad de Chile, Chile.

Dr. Javier Ramírez Ganga is an Adjunct Professor at the Universidad de Chile’s Department of Mathematical Engineering and a Project Engineer at the Center for Mathematical Modeling (CMM). With a Ph.D. in Engineering Sciences specializing in Mathematical Modeling, his research bridges numerical methods and real-world applications in mining, hydrology, and inverse problems. He has co-authored impactful publications in prestigious journals and actively contributes to national research projects. His international research visits and collaborations, especially in France, highlight his global engagement. Dr. Ramírez’s innovative work in gradient damage models and control theory positions him as a leader in applied mathematics, making him a highly deserving candidate for the Best Researcher Award.

🌍 Professional Profile:

Orcid

🏆 Suitability for the Best Researcher Award

 

Dr. Javier Ramírez Ganga is a strong contender for the Best Researcher Award due to his significant contributions to computational mechanics, inverse problems, and applied mathematics. His academic path from a B.Sc. in Mathematics to a Ph.D. in Engineering Sciences with a focus on mathematical modeling demonstrates a deep commitment to interdisciplinary and application-driven research. His current roles as Adjunct Professor and Project Engineer at Universidad de Chile and the Center for Mathematical Modeling reflect leadership in impactful research environments.

🎓 Education 

Javier Ramírez Ganga earned his Ph.D. in Engineering Sciences with a focus on Mathematical Modeling from Universidad de Chile in 2021. His doctoral thesis addressed the numerical reconstruction of inverse problems for partial differential equations under the supervision of Jaime H. Ortega and Gino Montecinos. He previously completed a Mathematical Engineering degree in 2016 at Universidad de Santiago de Chile, where he developed numerical approximations for exact controls in the 2D heat equation. His academic journey began with a B.Sc. in Mathematics from the same institution in 2015. This strong mathematical foundation supports his interdisciplinary research, blending advanced theory with real-world computational modeling. His training reflects both academic excellence and practical problem-solving skills.

🏢 Work Experience 

Dr. Ramírez currently serves as an Adjunct Professor at the Universidad de Chile’s Department of Mathematical Engineering and as a Project Engineer at the CMM. Since 2020, he has contributed to several major national research projects, including FONDEF IDEA initiatives and the Advanced Center for Water Technologies (CAPTA), working on numerical methods for engineering applications. His supervisors include prominent researchers such as Jaime H. Ortega and James Mc Phee. Internationally, he conducted two research stays at Institut Fourier, Université Grenoble-Alpes, France. His expertise spans numerical modeling, applied mathematics, and inverse problems, enabling collaborations across engineering and environmental sciences. His experience demonstrates versatility and a sustained commitment to high-impact, interdisciplinary research.

🏅 Awards and Honors 

While specific awards are not listed, Dr. Javier Ramírez Ganga’s scholarly output and participation in prestigious research projects demonstrate a high level of academic recognition. His publications in Applied Mathematical Modelling and Mathematical Reports, along with presentations at major conferences like MassMin 2020, highlight the academic impact of his work. His repeated invitations for international research visits to the Institut Fourier, Université Grenoble-Alpes, signal his growing global reputation. His continued selection for competitive national projects such as FONDEF IDEA and CAPTA also reflects the confidence of Chile’s research funding bodies in his expertise. These accomplishments collectively suggest a trajectory of excellence and make him a strong candidate for future honors and distinctions.

🔬 Research Focus 

Dr. Javier Ramírez Ganga’s research centers on numerical analysis, control theory, and inverse problems in partial differential equations (PDEs), with strong applications in engineering and environmental modeling. His recent work includes gradient damage models for underground mining, CGO solutions for coupled conductivity equations, and inverse modeling for water technologies. He applies computational tools like Python, FreeFem++, and Matlab to simulate complex systems and propose efficient solutions for practical challenges. His interdisciplinary collaborations bridge applied mathematics, geophysics, and hydrology, contributing to innovation in sustainable mining and water resource management. By integrating mathematical rigor with engineering relevance, his work enhances the predictive power of simulations and informs policy and design in critical sectors.

📊 Publication Top Notes:

Journal Articles

Bonnetier, E., Gaete, S., Jofré, A., Lecaros, R., Montecinos, G., Ortega, J. H., Ramírez-Ganga, J., & San Martín, J. S. (2025). Gradient damage models for studying material behavior in underground mining. Applied Mathematical Modelling, 116171.

Lecaros, R., Montecinos, G., Ortega, J. H., & Ramírez-Ganga, J. (2022). CGO solutions for coupled conductivity equations. Mathematical Reports, 24(1–2), 217–220.

Conference Proceedings

Gaete, S., Jofré, A., Lecaros, R., Montecinos, G., Ortega, J. H., Ramírez-Ganga, J., & San Martín, J. S. (2020). A gradient damage model applied to underground mining methods. In MassMin 2020: Proceedings of the Eighth International Conference & Exhibition on Mass Mining. University of Chile.

Preprints

Bonnetier, E., Gaete, S., Jofré, A., Lecaros, R., Montecinos, G., Ortega, J. H., Ramírez-Ganga, J., & San Martín, J. S. (2020). A shear-compression damage model for the simulation of underground mining by block caving. arXiv preprint, arXiv:2012.11118.

Gaete, S., Jofré, A., Lecaros, R., Montecinos, G., Ortega, J. H., Ramírez-Ganga, J., & San Martín, J. S. (2020). A fast algorithm of the shear-compression damage model for the simulation of block caving. arXiv preprint, arXiv:2012.14776.

Xin Bai | Mechanical Engineering | Best Researcher Award

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Assist. Prof. Dr. Xin Bai | Mechanical Engineering
|Best Researcher Award

Assist. Prof. Institute of Metal Research, Chinese Academy of Sciences, China.

 

Assoc. Prof. Dr. Xin Bai is a distinguished researcher at the Institute of Metal Research, Chinese Academy of Sciences, and a member of the Youth Innovation Promotion Association. Renowned for his pioneering work in fatigue fracture and structural reliability, Dr. Bai has significantly advanced methods for predicting fatigue performance from minimal experimental data. His research is both innovative and impactful, addressing critical needs in materials engineering and structural integrity. His commitment to developing cost-effective and efficient reliability assessment tools and software has garnered recognition across academia and industry. Dr. Bai’s sustained research excellence, leadership, and contributions to cutting-edge reliability science make him a compelling candidate for the Best Researcher Award.

🌍 Professional Profile:

Orcid

🏆 Suitability for the Best Researcher Award

 

Assoc. Prof. Dr. Xin Bai is a distinguished researcher at the Institute of Metal Research, Chinese Academy of Sciences, and a member of the Youth Innovation Promotion Association. Renowned for his pioneering work in fatigue fracture and structural reliability, Dr. Bai has significantly advanced methods for predicting fatigue performance from minimal experimental data. His research is both innovative and impactful, addressing critical needs in materials engineering and structural integrity. His commitment to developing cost-effective and efficient reliability assessment tools and software has garnered recognition across academia and industry. Dr. Bai’s sustained research excellence, leadership, and contributions to cutting-edge reliability science make him a compelling candidate for the Best Researcher Award.

🎓 Education 

Dr. Xin Bai received comprehensive training in materials science and engineering, culminating in his doctoral studies at the prestigious Institute of Metal Research, Chinese Academy of Sciences (CAS). His academic path reflects a strong foundation in mechanical behavior, fracture mechanics, and fatigue analysis. He has also engaged in postdoctoral research and advanced studies in failure physics, enhancing his expertise in structural reliability. His educational journey combined rigorous scientific coursework with hands-on research in laboratory environments, allowing him to acquire the necessary skills for leading complex experimental and theoretical investigations. His continued affiliation with CAS exemplifies the high caliber of his education and research orientation.

🏢 Work Experience 

Dr. Xin Bai serves as an Associate Professor at the Institute of Metal Research, Chinese Academy of Sciences, and is actively involved in advanced fatigue and reliability studies. His professional journey includes extensive experience in developing fatigue reliability methods based on physical failure mechanisms, small-scale testing, and predictive modeling. He has led multiple research projects focusing on translating laboratory-scale data into accurate, full-scale structural performance assessments. His work integrates mechanical engineering, software development, and statistical modeling to address real-world engineering problems. As a member of the Youth Innovation Promotion Association of CAS, he collaborates with leading scientists nationwide, contributing to China’s strategic goals in materials reliability and engineering safety.

🏅 Awards and Honors 

Dr. Xin Bai has been honored as a member of the Youth Innovation Promotion Association of the Chinese Academy of Sciences—an elite recognition awarded to promising young scientists. This distinction underscores his contributions to material reliability and fatigue research. He has received accolades for his innovative research methods and impactful findings, with invitations to present at top conferences and collaborations with national-level research teams. His software development efforts for fatigue prediction have been adopted in academic and industrial settings, further establishing his influence in the field. His work continues to earn national and institutional praise, positioning him among China’s rising stars in materials science and engineering.

🔬 Research Focus 

Dr. Xin Bai’s research centers on developing low-cost, high-efficiency methods for assessing fatigue reliability based on failure physics. His focus areas include: (1) structural fatigue reliability assessment using minimal testing data, enabling accurate predictions without extensive experimentation; (2) techniques for extrapolating full-scale component fatigue performance from small specimen data, significantly reducing testing time and cost; and (3) software development to support fatigue fracture analysis and reliability modeling. His interdisciplinary approach combines materials science, mechanical engineering, and data-driven modeling to advance the understanding and prediction of structural behavior under cyclic loads. His innovations have broad applications in aerospace, automotive, and infrastructure industries, helping ensure long-term structural safety and performance.

📊 Publication Top Notes:

  • Song Zhou; Zhaoxing Qian; Xin Bai (2024). Static properties evaluation for laser deposition repaired TA15 components based on a constitutive model considering annealing heat treatment. Engineering Failure Analysis.

  • Xin Bai; Peng Zhang; Shuo Liu; Rui Liu; Bingfeng Zhao; Zhefeng Zhang (2023). Fatigue strength prediction of large-size component through size effect measurement and determination. International Journal of Fatigue.

  • X. Bai; P. Zhang; Q. Wang; R. Liu; Z. J. Zhang; Q. Q. Duan; E. N. Yang; H. Bo; Z. F. Zhang (2022). A New Dominance Distribution Method to Select Materials with Higher Fatigue Resistance under Property Scatter and Load Uncertainty. Journal of Materials Engineering and Performance.

  • Zhiming Xie; Peng Wang; Bin Wang; P. Zhang; Xin Bai; Zhefeng Zhang (2022). Effects of Heat Treatment on Fatigue Properties of Double Vacuum Smelting High‐Carbon Chromium‐Bearing Steel. Advanced Engineering Materials.

  • Shuo LIU; Bin Wang; P. Zhang; Xin Bai; Qiqiang Duan; Xuegang Wang; Zhefeng Zhang (2022). The Effect of Microstructure Inhomogeneity on Fatigue Property of EA4T Axle Steel. steel research international.

  • Bingfeng Zhao; Liyang Xie; Yu Zhang; Jungang Ren; Xin Bai; Bo Qin (2021). An improved dynamic load-strength interference model for the reliability analysis of aero-engine rotor blade system. Journal of Aerospace Engineering.

  • Lei Wang; Bingfeng Zhao; Lei Wang; Zhiyong Hu; Song Zhou; Xin Bai (2021). A new multiaxial fatigue life prediction model for aircraft aluminum alloy. International Journal of Fatigue.

  • Xin Bai; Peng Zhang; Enna Yang; Qiqiang Duan; Hao Bo; Zhefeng Zhang (2020). Dominance distributions for fatigue performance of materials and its application in material selection. Preprint on Authorea.

  • Xin Bai; Peng Zhang; Zhen‐jun Zhang; Rui Liu; Zhe‐feng Zhang (2019). New method for determining P‐S‐N curves in terms of equivalent fatigue lives. Fatigue & Fracture of Engineering Materials & Structures.

  • Xin Bai; Liyang Xie; Ruijin Zhang; Ruoyi Guan; Anshi Tong; Enjun Bai (2017). Measurement and estimation of probabilistic fatigue limits using Monte-Carlo simulations. International Journal of Fatigue.