Seismic behavior of MSCSS based on story drift and failure path

Fan, Buqiao; Zhang, Xun’an; Abdulhadi, Mustapha; Moman, Muhammad

doi:10.1590/1679-78256787

Cited by 3 publications

(4 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Additional columns on sub-structures in the MSCSS can support megabeams above, reduce bending moments in mega-beams, and allow for larger beam spans. LRBs on additional columns not only dissipate the energy but also further increase the relative motion between the mega-structure and sub-structures, thereby increasing the energy dissipated by the dampers [8][9][10]. The MSCSS with LRBs has been explored by several researchers.…”

Section: Introductionmentioning

confidence: 99%

“…Taking the inter-story drift ratio, acceleration, and energy dissipation as optimization objectives, the distribution and parameters of dampers and LRBs in the system were optimized [3]. Fan et al also proposed the use of structural behavior matrices that are based on the inter-story drift ratio and failure paths as more comprehensive indicators to describe the seismic behavior of MSCSS with LRBs [8]. Yet, there is no investigation on the failure modes of the MSCSS with LRBs.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Failure Mode and Optimization for MSCSS with LRBs Based on IDA Method

et al. 2022

Self Cite

View full text Add to dashboard Cite

The mega-sub controlled structure system with laminate rubber bearings is an emerging seismic control system for high-rise buildings. The system is high-order statically indeterminate with numerous failure modes. To study the failure modes of the structural system and further improve its seismic performance, the dynamic equations and the finite element model of the system were established. Ten different ground motions were selected from the Pacific Earthquake Engineering Research Center ground motion database for the incremental dynamic analysis (IDA). Based on the results of the IDA, the weakest failure mode of the system was identified, and its failure path was found. Two schemes were proposed to optimize the weakest failure mode of the system, and the optimization results were compared. The results show that although the IDA curves from different ground motion inputs are diverse, the plastic hinges are all formed on the sub-structures. Failures of the system are caused by either the excessive floor drift or the excessive shear deformation of rubber bearings. By adjusting the locations and parameters of dampers and rubber bearings, the seismic performance of the system can be improved.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Failure Mode and Optimization for MSCSS with LRBs Based on IDA Method

et al. 2022

Self Cite

View full text Add to dashboard Cite

show abstract

“…Fan et al [9] calculated the failure path of MFVCS under random earthquake excitation by using the weighted rank-sum ratio method, and analyzed the weak members of the structure. Abdulhadi et al [10] explored the appropriate stiffness ratio and mass ratio to reduce the seismic response of MFVCS.…”

Section: Introductionmentioning

confidence: 99%

“…Buildings 2022, 11, x FOR PEER REVIEW 2 of 20 crosswind responses of MFVCS and TMD, and investigated the influence of the mass ratio and stiffness ratio of the megastructure to the substructure on wind-induced vibration control of MFVCS. Fan et al [9] calculated the failure path of MFVCS under random earthquake excitation by using the weighted rank-sum ratio method, and analyzed the weak members of the structure. Abdulhadi et al [10] explored the appropriate stiffness ratio and mass ratio to reduce the seismic response of MFVCS.…”

Section: Introductionmentioning

confidence: 99%

Seismic Fragility Analysis of Mega-Frame with Vibration Control Substructure Based on Dual Surrogate Model and Active Learning

et al. 2022

Self Cite

View full text Add to dashboard Cite

Seismic fragility analysis of a mega-frame with vibration control substructure (MFVCS) considering structural uncertainties is computationally expensive. Dual surrogate model (DSM) can be used to improve computational efficiency, whereas the proper selection of design of experiments (DoE) is a difficult work in the DSM-based seismic fragility analysis (DSM-SFA) method. To efficiently assess the seismic fragility with sufficient accuracy, this paper proposes an improved DSM-SFA method based on active learning (AL). In this method, the Kriging model is employed for surrogate modeling to obtain the predicted error of approximation. An AL sampling strategy is presented to update the DoE adaptively, and the refinement of the surrogate models can reduce the error of the probability result computed by the Monte Carlo (MC) simulation. A numerical example was studied to verify the effectiveness and feasibility of the improved procedure. This method was applied to the fragility analysis of an MFVCS and a mega-frame structure (MFS). The finite element models were established using OpenSeesPy and SAP2000 software, respectively, and the correctness of the MFVCS model was verified. The results show that MFVCS is less vulnerable than MFS and has better seismic performance.

show abstract