Development of hysteretic energy compatible endurance time excitations and its application

Mashayekhi, ‪Mohammadreza; Estekanchi, Homayoon E.; Vafai, Hassan A.; Mirfarhadi, S. Ali

doi:10.1016/j.engstruct.2018.09.089

Cited by 51 publications

(22 citation statements)

References 21 publications

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“…Besides, the difficulties associated with the record selection procedure in such incremental‐based dynamic analyses can be also circumvented because three couples of ET records would be enough seismic assessment within the framework of ET analysis. The ET method has been extensively used in different areas of earthquake engineering, such as those related to the seismic assessment RC and steel structures, seismic performance of bridges, and duration‐consistent seismic evaluations …”

Section: Introductionmentioning

confidence: 99%

“…In contrast to local optimizers such as classical methods that find optimal solutions in the vicinity of starting points, global optimizers such as evolutionary algorithms search the whole optimization space regardless of the initially selected starting points. Although using evolutionary algorithms seem to be justifiable than the classical methods due to the fact that they do not get trapped in local optima, existing ETEFs are yet generated by classical optimization methods . Besides, simulating ETEFs by classical optimization methods is not straightforward and requires several trials and errors to find the best potential solution because optimization results are very sensitive to initial points .…”

Section: Introductionmentioning

confidence: 99%

“…The ET method has been extensively used in different areas of earthquake engineering, such as those related to the seismic assessment RC and steel structures, [11][12][13] seismic performance of bridges, 14 and duration-consistent seismic evaluations. 15,16 In the ET method, structures are subjected to intensifying acceleration time histories, which are also called as the endurance time excitation functions (ETEFs). The more accurate the ETEFs are, the more reliable the ET method's outputs will be.…”

Section: Introductionmentioning

confidence: 99%

“…Although using evolutionary algorithms seem to be justifiable than the classical methods due to the fact that they do not get trapped in local optima, existing ETEFs are yet generated by classical optimization methods. 16 Besides, simulating ETEFs by classical optimization methods is not straightforward and requires several trials and errors to find the best potential solution because optimization results are very sensitive to initial points. 17 Hence, this issue complicates the simulation process of ETEFs.…”

Section: Introductionmentioning

confidence: 99%

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Development of an alternative PSO‐based algorithm for simulation of endurance time excitation functions

Mashayekhi

Harati

Estekanchi

2019

Engineering Reports

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This paper presents a particle swarm optimizer for production of endurance time excitation functions (ETEFs). These excitations are intensifying acceleration time histories that are used as input motions in endurance time (ET) method. The accuracy of the ET methods heavily depends on the accuracy of ET excitations. Unconstrained nonlinear optimization is employed to simulate these excitations. Particle swarm optimization (PSO) method as an evolutionary algorithm is examined in this paper to achieve a more accurate ETEF, where optimal parameters of the PSO are first determined using a parametric study on the involved variables. The proposed method is verified and compared with the trust‐region‐reflective method as a classical optimization method and imperialist competitive algorithm as a recently developed evolutionary method. Results show that the proposed method leads to more accurate ET excitations.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Development of an alternative PSO‐based algorithm for simulation of endurance time excitation functions

Mashayekhi

Harati

Estekanchi

2019

Engineering Reports

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“…The challenging part of this method lies in generating the endurance time excitation functions (ETEFs), Figure 3a. Initial generation of ETEFs were only based on acceleration and displacement response spectra [58], while the recent advances in the simulation of ETEFs can be found in Mashayekhi and Estekanchi [59], and Mashayekhi et al [60][61][62], where the functions were optimized in the time and frequency domains accounting for the acceleration and displacement response spectra, as well as the nonlinear displacement, absorbed hysteretic energy, number of effective cycles, etc. Unconstrained nonlinear optimization is used to simulate ETEFs.…”

Section: Endurance Time Analysismentioning

confidence: 99%

On the Dynamic Capacity of Concrete Dams

et al. 2019

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The purpose of this joint contribution is to study the maximum dynamic load concrete dams can withstand. The so-called "dynamic capacity functions" for these infrastructures seems now technically and commercially feasible thanks to the modern finite element techniques, hardware capabilities, and positive experiences collected so far. The key topics faced during the dynamic assessment of dams are also discussed using different point of view and examples, which include: the selection of dynamic parameters, the progressive level of detail for the numerical simulations, the implementation of nonlinear behaviors, and the concept of the service and collapse limit states. The approaches adopted by local institutions and engineers on the subject of dam capacity functions are discussed using the authors' experiences, and an overview of time and resources is outlined to help decision makers. Three different concrete dam types (i.e., gravity, buttress, and arch) are used as case studies with different complexities. Finally, the paper is wrapped up with a list of suggestions for analysts, the procedure limitations, and future research needs.

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Life cycle cost‐based optimization framework for seismic design and target safety quantification of dual steel buildings with buckling‐restrained braces

Amiri

Estekanchi

2023

Earthq Engng Struct Dyn

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This study proposes an efficient risk‐targeted framework for integrated optimal seismic design and quantifying target safety of Special Moment‐Resisting Frames (SMRFs) with Buckling‐Restrained Braces (BRBs) in the typical dual steel buildings. This framework provides an automated design procedure formulated as a constrained single‐objective optimization problem to achieve the minimum Life Cycle Cost (LCC) within the Particle Swarm Optimization (PSO) algorithm and can be the basis of current seismic codes for target safety calibration. LCC includes initial construction cost and lifetime seismic losses such as repair cost, repair time, and casualties. FEMA P‐58 methodology is employed for the LCC analysis of the building under possible earthquakes during its lifetime, which is able to take into account potential uncertainties in the hazard‐response‐damage‐loss relationship. An appropriate cost model is developed to estimate the initial and repair cost of the studied BRBs. Minimum requirements of ASCE and AISC codes are considered as design constraints. Nonlinear response history analysis through the Endurance Time (ET) method is utilized to estimate the structural responses versus seismic intensity. Three 4‐, 8‐, and 12‐story steel buildings with dual seismic force‐resisting system consisting of SMRF and BRB (called steel SMRF‐BRB) are selected as the case study. Each building is optimally designed with two approaches: (1) LCC‐based design within the proposed framework and (2) code‐based design to minimize initial construction cost. Comparison of optimized buildings with the two design approaches in terms of structural responses and seismic consequences demonstrates that fulfilling the minimum code requirements at a given seismic hazard level is not sufficient to minimize lifetime seismic losses of steel SMRF‐BRBs. This is because the optimal designs obtained from the code‐based approach are associated with damage concentration, irreparability, and high collapse probability, especially in seismic events more severe than the design level. The proposed LCC‐based approach provides useful information for improving the lifetime seismic performance of steel SMRF‐BRBs.

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Development of hysteretic energy compatible endurance time excitations and its application

Cited by 51 publications

References 21 publications

Development of an alternative PSO‐based algorithm for simulation of endurance time excitation functions

Development of an alternative PSO‐based algorithm for simulation of endurance time excitation functions

On the Dynamic Capacity of Concrete Dams

Life cycle cost‐based optimization framework for seismic design and target safety quantification of dual steel buildings with buckling‐restrained braces

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