Assessment of SPO2FRAG Software for Estimating Collapse Capacity of Steel Plate Shear Walls
محورهای موضوعی : Seismic Analysis and Design
پویا آرزومند لنگرودی
1
,
محمد رضا ادیب رمضانی
2
,
عطا حجت کاشانی
3
,
Saeed Farokhi Zadeh
4
1 - گروه مهندسی عمران، واحد تهران جنوب، دانشگاه آزاد اسلامی، تهران، ایران
2 - گروه مهندسی عمران ، واحد تهران جنوب ،دانشگاه آزاد اسلامی، تهران، ایران
3 - هیات علمی گروه مهندسی عمران- سازه و زلزله دانشکده فنی مهندسی دانشگاه آزاد اسلامی واحد تهران جنوب
4 - Assistant Professor, Department of civil Engineering, Islamic Azad University, south Tehran branch, Tehran, Iran
کلید واژه: Steel plate shear wall, Pushover analysis, Fragility curve, Incremental dynamic analysis, Performance-based assessment,
چکیده مقاله :
Evaluating the seismic vulnerability and collapse capacity of structural systems typically involves conducting Incremental Dynamic Analysis (IDA) and generating fragility curves, both of which are complex and time-consuming. To simplify the extraction of fragility curves at different performance levels, the SPO2FRAG software was developed by previous researchers. However, its accuracy in predicting the collapse capacity of systems with varying heights has not been thoroughly validated against detailed analyses using seismic records. This study evaluates the efficiency and accuracy of SPO2FRAG in steel plate shear wall systems (SPSWs) with 4, 8, 12, and 16 stories, all designed in accordance with relevant codes. The numerical models were validated against a well-documented experimental specimen to ensure reliability. Fragility curves at the collapse performance level were derived using two methods: (1) IDA with 22 pairs of far-field earthquake records, and (2) the SPO2FRAG software he results show that for 4- and 8-story buildings, SPO2FRAG provides conservative estimates of collapse capacity compared to the more precise IDA. However, its reliability decreases with building height, leading to significant overestimation in the 16-story structure. While SPO2FRAG is a quick and cost-effective tool for assessing low- to mid-rise SPSWs, more accurate methods like IDA are recommended for taller structures. This study highlights the limitations of SPO2FRAG in evaluating taller SPSWs and underscores the importance of using detailed analysis methods for critical infrastructure. Future research should focus on enhancing the predictive capabilities of simplified tools like SPO2FRAG for high-rise structures.
Evaluating the seismic vulnerability and collapse capacity of structural systems typically involves conducting Incremental Dynamic Analysis (IDA) and generating fragility curves, both of which are complex and time-consuming. To simplify the extraction of fragility curves at different performance levels, the SPO2FRAG software was developed by previous researchers. However, its accuracy in predicting the collapse capacity of systems with varying heights has not been thoroughly validated against detailed analyses using seismic records. This study evaluates the efficiency and accuracy of SPO2FRAG in steel plate shear wall systems (SPSWs) with 4, 8, 12, and 16 stories, all designed in accordance with relevant codes. The numerical models were validated against a well-documented experimental specimen to ensure reliability. Fragility curves at the collapse performance level were derived using two methods: (1) IDA with 22 pairs of far-field earthquake records, and (2) the SPO2FRAG software he results show that for 4- and 8-story buildings, SPO2FRAG provides conservative estimates of collapse capacity compared to the more precise IDA. However, its reliability decreases with building height, leading to significant overestimation in the 16-story structure. While SPO2FRAG is a quick and cost-effective tool for assessing low- to mid-rise SPSWs, more accurate methods like IDA are recommended for taller structures. This study highlights the limitations of SPO2FRAG in evaluating taller SPSWs and underscores the importance of using detailed analysis methods for critical infrastructure. Future research should focus on enhancing the predictive capabilities of simplified tools like SPO2FRAG for high-rise structures.
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