The scientist’s investigation covers issues in Nonlinear system, Robustness, First-order reliability method, Mathematical optimization and Conjugate gradient method. His study in Nonlinear system is interdisciplinary in nature, drawing from both Mean squared error, Polynomial and Applied mathematics. His First-order reliability method study combines topics from a wide range of disciplines, such as Control theory, Chaotic, Algorithm, Conjugate and Conjugate residual method.
His work carried out in the field of Mathematical optimization brings together such families of science as Probabilistic logic and Topology optimization. The study incorporates disciplines such as Distribution and Aluminium in addition to Probabilistic logic. His Conjugate gradient method research is multidisciplinary, incorporating elements of Sensitivity, Computation, Statistical model and Dimensionality reduction.
Behrooz Keshtegar spends much of his time researching Nonlinear system, Robustness, Structural engineering, Mathematical optimization and Algorithm. Behrooz Keshtegar interconnects Artificial neural network, Mathematical model and Applied mathematics in the investigation of issues within Nonlinear system. His Robustness research is multidisciplinary, relying on both Conjugate, Probabilistic logic, Reliability based design and Reliability methods.
His Structural engineering research integrates issues from Reliability and Harmony search. His research in Mathematical optimization intersects with topics in Computation, Kriging and Benchmark. His Algorithm study incorporates themes from First-order reliability method, Structural reliability, Support vector machine and Gradient descent.
The scientist’s investigation covers issues in Artificial neural network, Structural engineering, Nonlinear system, Support vector machine and Robustness. His Structural engineering research incorporates themes from Harmony search and Hybrid machine. Behrooz Keshtegar has included themes like Bar, Pitting corrosion, Sensitivity, Exponential function and Reliability in his Nonlinear system study.
The concepts of his Reliability study are interwoven with issues in Probabilistic logic and Latin hypercube sampling. Behrooz Keshtegar combines subjects such as Mathematical optimization and Heuristic with his study of Support vector machine. His research investigates the connection between Robustness and topics such as Conjugate that intersect with problems in Conjugate gradient method, Reliability methods and Complex system.
His main research concerns Sensitivity, Nonlinear system, Exponential function, Artificial neural network and Mathematical optimization. He has researched Sensitivity in several fields, including Polynomial basis and Surrogate model. Behrooz Keshtegar undertakes interdisciplinary study in the fields of Nonlinear system and Shear strength through his research.
His research integrates issues of Hyperbolic function and Kriging in his study of Exponential function. The various areas that he examines in his Artificial neural network study include Swarm behaviour and Support vector machine. His Mathematical optimization study integrates concerns from other disciplines, such as Conjugate, Robustness and Reliability methods.
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Probabilistic framework for fatigue life assessment of notched components under size effects
Ding Liao;Shun-Peng Zhu;Shun-Peng Zhu;Shun-Peng Zhu;Behrooz Keshtegar;Guian Qian.
International Journal of Mechanical Sciences (2020)
Probabilistic modeling of fatigue life distribution and size effect of components with random defects
Y. Ai;S.P. Zhu;S.P. Zhu;D. Liao;J.A.F.O. Correia.
International Journal of Fatigue (2019)
Optimization of dynamic buckling for sandwich nanocomposite plates with sensor and actuator layer based on sinusoidal-visco-piezoelasticity theories using Grey Wolf algorithm:
Reza Kolahchi;Behrooz Keshtegar;Mohammad Hosein Fakhar.
Journal of Sandwich Structures and Materials (2020)
Chaotic conjugate stability transformation method for structural reliability analysis
Computer Methods in Applied Mechanics and Engineering (2016)
Comparison of four heuristic regression techniques in solar radiation modeling: Kriging method vs RSM, MARS and M5 model tree
Behrooz Keshtegar;Cihan Mert;Ozgur Kisi.
Renewable & Sustainable Energy Reviews (2018)
A hybrid relaxed first-order reliability method for efficient structural reliability analysis
Behrooz Keshtegar;Zeng Meng.
Structural Safety (2017)
Adaptive conjugate single-loop method for efficient reliability-based design and topology optimization
Zeng Meng;Zeng Meng;Behrooz Keshtegar.
Computer Methods in Applied Mechanics and Engineering (2019)
Reliability analysis of corroded pipes using conjugate HL–RF algorithm based on average shear stress yield criterion
Behrooz Keshtegar;Mahmoud Miri.
Engineering Failure Analysis (2014)
Modeling daily dissolved oxygen concentration using modified response surface method and artificial neural network: a comparative study
Behrooz Keshtegar;Salim Heddam.
Neural Computing and Applications (2018)
A hybrid self-adaptive conjugate first order reliability method for robust structural reliability analysis
Behrooz Keshtegar;Subrata Chakraborty.
Applied Mathematical Modelling (2018)
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