AIM4 - AI-BASED METHODS FOR THE SEISMIC ANALYSIS, DESIGN, AND EVALUATION OF STRUCTURES AND REGIONS |
WEDNESDAY | ||||||||
AMBER 2 | Convenors: X. Lu, H. Burton, J. Song | ||||||||
09:00 - 09:12 | A TEMPORAL FUSION TRANSFORMER FOR TIME HISTORY RESPONSE PREDICTION WITH STRUCTURAL STATIC COVARIATES Z.H. Li, Q.T. Yang, Z. Wang, Q.X. Deng, Y.X. Gong, J. Teng | |||||||
09:12 - 09:24 | NEAR REAL-TIME LIQUEFACTION PREDICTION MODELING USING MACHINE LEARNING C. Varone, F. Mori, A. Mendicelli, G. Ciotoli, G. Naso, M. Moscatelli | |||||||
09:24 - 09:36 | EARTHQUAKE FAULT MECHANISM PREDICTION USING AI ALGORITHMS APPLIED TO STRONG MOTION RECORDS F. Y épez, D. Benítez, N. Perez, F. Grijalva | |||||||
09:36 - 09:48 | DEEP LEARNING-BASED MODAL COMBINATION RULE FOR RESPONSE SPECTRUM ANALYSIS OF BUILDING STRUCTURES T. Kim, O. Kwon, J. Song | |||||||
09:48 - 10:00 | DEVELOPMENT OF A MACHINE-LEARNING-BASED WEB APPLICATION TOOL FOR PARAMETRIC DAMPER DESIGN Y. Terazawa, T. Takeuchi, T. Miyazaki, Y. Ichikawa, R. Tomioka, K. Goto | |||||||
10:00 - 10:12 | AN ACTIVE-LEARNING-BASED ESTIMATION OF PLASTIC HINGE PARAMETERS IN RC COLUMNS THROUGH RANDOM FOREST P.Y. Chen, K.C. Lee | |||||||
10:12 - 10:15 | DISCUSSION | |||||||
MONITOR 1 | Convenors: X. Lu, H. Burton, J. Song | ||||||||
10:30 - 10:42 | SURROGATE MODEL FOR FRAGILITY ASSESSMENT OF RETROFITTED UNREINFORCED MASONRY BUILDINGS A. FathiAzar, S. Alfano, S. Cattari | |||||||
10:42 - 10:54 | COMPARATIVE STUDY ON THE PERFORMANCE OF METAHEURISTICS IN THE OPTIMIZATION OF SEISMIC DESIGNS L. Velasco, H. Guerrero, A. Hospitaler, H. Saura | |||||||
10:54 - 11:06 | KNOWLEDGE-ENHANCED GRAPH NEURAL NETWORK FOR MATERIAL MINIMIZATION OF EARTHQUAKE-RESISTANT STRUCTURES Y. Fei, W. Liao, X. Lu, H. Guan | |||||||
11:06 - 11:18 | RAPID SEISMIC DAMAGE EVALUATION OF RC FRAMES IN URBAN BUILDING CLUSTERS BASED ON MACHINE LEARNING X. Song, R. Guo, X. Cheng, Y. Li, H. Zhang, Z. Liang, S. Wang | |||||||
11:18 - 11:30 | DUAL-BRANCH DEEP LEARNING MODEL FOR SEISMIC RESPONSE HISTORY PREDICTION OF BRIDGE PORTFOLIOS C. Ning, Y. Xie | |||||||
11:30 - 11:42 | PLASTIC HINGE MODELING OF REINFORCED CONCRETE BEAM-COLUMN JOINTS USING ARTIFICIAL NEURAL NETWORKS S. Guner, N. Suwal | |||||||
11:42 - 11:45 | DISCUSSION | |||||||
MONITOR 2 | Convenors: X. Lu, H. Burton, J. Song | ||||||||
10:30 - 10:42 | RAPID PREDICTION OF STRUCTURAL SEISMIC RESPONSES FOR THE SEISMIC RESILIENCE ASSESSMENT OF RC FRAMES W. Wen, C. Zhang, C. Zhai | |||||||
10:42 - 10:54 | PHYSICS INFORMED NEURAL NETWORK FOR DYNAMIC RESPONSE ANALYSIS OF NONLINEAR STRUCTURAL SYSTEMS F.N. Malik, J. Ricles, M. Yari | |||||||
10:54 - 11:06 | DEEP LEARNING-BASED AVERAGE SHEAR WAVE VELOCITY PREDICTION USING ACCELEROMETER RECORDS B. Yilmaz, M. Turkmen, S. Meral, E. Akagunduz, S. Tileylioglu | |||||||
11:06 - 11:18 | INTELLIGENT DESIGN OF SHEAR WALL LAYOUT BASED ON DIFFUSION MODELS Y. Gu, W. Liao, X. Lu | |||||||
11:18 - 11:30 | SPT- AND VS-BASED PROBABILISTIC EVALUATION OF SOIL LIQUEFACTION POTENTIAL USING EXPLAINABLE BOOSTING MACHINE K. Jas, G.R. Dodagoudar | |||||||
11:30 - 11:45 | DISCUSSION | |||||||
MONITOR 3 | Convenors: X. Lu, H. Burton, J. Song | ||||||||
10:30 - 10:42 | SEQUENTIAL SEISMIC DAMAGE ASSESSMENT FOR SEMI-RIGID PC CONNECTIONS BASED ON MULTIFRACTAL DIMENSION D. Yu, Z. He, Z. Zhao | |||||||
10:42 - 10:54 | AI FOR ASCE 41 LIFE SAFETY STRUCTURAL SEISMIC PERFORMANCE EVALUATION P. Ranchal, D. Gaspar, E. Prado, A. Chu, I. Kim | |||||||
10:54 - 11:06 | STRUCTURAL DAMAGE IDENTIFICATION USING VIBRATING VIDEO AND CONVOLUTIONAL NEURAL NETWORKS F. Guo, Y. Dong, Q. Su, X. Zhang, D. Fang, L. Liu, F. Li | |||||||
11:06 - 11:18 | STUDY ON BUILDING DAMAGE ESTIMATION OF VARIOUS DEEP LEARNING MODELS USING SEISMIC RESPONSE ANALYSIS G. Nyamkhuu, A. Aoi, H. Tsunekawa, M. Yoshizawa, A. Kanbayashi, T. Hashiyama | |||||||
11:18 - 11:30 | A NOVEL SMART MECHANICAL SENSOR: TRAINING A REAL PHYSICAL SYSTEM AS A SIGNAL CLASSIFIER Y. Feng, X. Lu | |||||||
11:30 - 11:42 | A HYBRID MACHINE LEARNING MODEL FOR LARGE-SCALE EARTHQUAKE DAMAGE PREDICTIONS TO BUILDINGS J. Chhabra, L. Burks, Y. Kim, S. Patel | |||||||
11:42 - 11:45 | DISCUSSION | |||||||
AMBER 2 | Convenors: X. Lu, H. Burton, J. Song | ||||||||
14:30 - 14:42 | PHYSICS-INFORMED DEEP LEARNING FOR SEISMIC RESPONSE MODELING R. Zhang, Y. Liu, H. Sun, G. Wu | |||||||
14:42 - 14:54 | AN ARTIFICIAL NEURAL NETWORK APPROACH TO ESTIMATE SEISMIC RESPONSE L. Alcántara, S.R. García | |||||||
14:54 - 15:06 | SCORE-BASED GENERATIVE MODELS FOR REGIONAL SEISMIC WAVEFIELD SYNTHESIS C. Gu | |||||||
15:06 - 15:18 | PHYSICS-INFORMED DEEP LEARNING MODEL FOR PREDICTING SPATIAL VARIABILITY IN STRONG GROUND MOTIONS K. Kaneko, T. Iwasaki, K. Yoneyama | |||||||
15:18 - 15:30 | SURROGATE MODELLING TO PREDICT THE SEISMIC RESPONSE OF STEEL CBFS B. Broderick, J. Hickey, H. Moore | |||||||
15:30 - 15:42 | NEURAL-NET BASED HYSTERESIS MODELING OF MOMENT FRAME CONNECTIONS S. Kim, J. Ahn, T. Yoon | |||||||
15:42 - 15:45 | DISCUSSION | |||||||
THURSDAY | ||||||||
MONITOR 1 | Convenors: X. Lu, H. Burton, J. Song | ||||||||
09:00 - 09:12 | INTELLIGENT GENERATION MODEL OF SUPER HIGH-RISE FRAME-CORE STRUCTURES WITH HIGH SEISMIC PERFORMANCE Z. Zhao, Z. He, D. Yu | |||||||
09:12 - 09:24 | POST-EARTHQUAKE BUILDING PERFORMANCE: MACHINE LEARNING FOR 2016–2017 CENTRAL ITALY EARTHQUAKES A. Aloisio, M.M. Rosso, L. Coco, L. Di Battista, B. Di Giacomantonio, M. Fragiacomo, G.C. Marano, G. Quaranta | |||||||
09:24 - 09:36 | DATA ASSIMILATION METHOD USING QUALITY ENGINEERING AND SHAP FOR SEISMIC PERFORMANCE OF WOODEN HOUSES T. Namba, T. Nakagawa, Y. Kado, H. Isoda, A. Takino | |||||||
09:36 - 09:48 | OPTIMAL SCHEDULING FOR RESILIENT COMMUNITY POST- EARTHQUAKE RECOVERY BASED ON REINFORCEMENT LEANING S. Yang, Y. Zhang, X. Lu | |||||||
09:48 - 10:00 | FEATURE VALUE OF SEISMIC WAVE FOR DETERMINING LIQUEFACTION DEGREE OF SITE USED IN MACHINE LEARNING K. Watanabe, R. Ito, A. Kamura, M. Kazama | |||||||
10:00 - 10:15 | DISCUSSION | |||||||
MONITOR 2 | Convenors: X. Lu, H. Burton, J. Song | ||||||||
09:00 - 09:12 | OPTIMUM DESIGN OF VIBRATING BARRIERS USING ARTIFICIAL NEURAL NETWORK A. Farid, Y. Rashed, A. Ayoub | |||||||
09:12 - 09:24 | RELIABILITY ANALYSIS OF DETERIORATING STRUCTURES USING LSTM-PINN-BASED PDEM S. Das, S. Tesfamariam | |||||||
09:24 - 09:36 | A DEEP LEARNING METHOD FOR STRENGTH AND STIFFNESS EVALUATION OF SEISMICALLY DAMAGED RC SHEAR WALLS Y. Yu, X. Ji, X. Gao, Y. Zhuang | |||||||
09:36 - 09:48 | ENHANCING SEISMIC SAFETY OF EXISTING BUILDINGS BY DEVELOPING TRANSPARENT AND ADAPTIVE RVS FRAMEWORK N. Bektas, O. Kegyes-Brassai | |||||||
09:48 - 10:00 | MACHINE LEARNING APPROACH FOR PREDICTING THE FLEXURAL BEHAVIOR OF STEEL MEMBERS C. Eshaghi, E. Cerqueira, X. Romão, J.M. Castro | |||||||
10:00 - 10:15 | DISCUSSION | |||||||
MONITOR 3 | Convenors: X. Lu, H. Burton, J. Song | ||||||||
09:00 - 09:12 | MULTI-TASK GAUSSIAN PROCESS-BASED SURROGATE MODEL FOR PERFORMANCE-BASED SEISMIC DESIGN OPTIMIZATION T. Yaoyama, T. Itoi | |||||||
09:12 - 09:24 | SEISMIC BEHAVIOR OF RETAINING STRUCTURES USING SOIL-STRUCTURE INTERACTION PRINCIPLES AND AI TOOLS M.G. Durante | |||||||
09:24 - 09:36 | GROUND MOTION BASED SURROGATE MODEL OF SEISMIC RESPONSE ANALYSIS OF BUILDINGS USING MACHINE LEARNING Y. Matsumoto, T. Yaoyama, S. Lee, T. Hida, T. Itoi | |||||||
09:36 - 09:48 | AUTOMATIC BUILDING HEIGHT ESTIMATION: MACHINE LEARNING MODELS FOR URBAN IMAGE ANALYSIS M. Ureña Pliego, R. Martinez-Marín, B. González Rodrigo, M.b. Benito-Oterino, M. Marchamalo-Sacristán | |||||||
09:48 - 10:00 | DEEP NEURAL NETWORKS THAT BYPASS IDA VIA DURATION AND SPECTRAL-BASED INTENSITY MEASURES K. Tsalouchidis, C. Adam | |||||||
10:00 - 10:15 | DISCUSSION | |||||||
AMBER 2 | Convenors: X. Lu, H. Burton, J. Song | ||||||||
10:30 - 10:42 | MACHINE LEARNING FOR EXTRACTING CAUSAL INFORMATION USING DATA FROM DISPARATE STRUCTURAL EXPERIMENTS A. Nanda, H.V. Burton | |||||||
10:42 - 10:54 | SEISMIC LOSS ASSESSMENT OF STEEL RESIDENTIAL BUILDINGS IN IRAN USING MACHINE LEARNING TECHNIQUES S. Ghashghaee, M. Tabatabaei, Z. Monir Vaghefi, B. Asgarian | |||||||
10:54 - 11:06 | RESEARCH ON THE DAMAGE LEVEL PREDICTION OF MEGA-SUB ISOLATION SYSTEM BASED ON MACHINE LEARNING X. Li, X. Song, Y. Li, X. Li, A. Liu | |||||||
11:06 - 11:18 | A NEURAL NETWORK-BASED COMPUTATIONAL PLATFORM FOR SEISMIC PERFORMANCE ASSESSMENT OF STRUCTURES M. Zaker Esteghamati, S. Baddipalli, A. Montazeri Namin, M. Hassan Ahmed | |||||||
11:18 - 11:30 | PROGNOSTIC MODELING OF SEISMIC FAILURE FOR RC BRIDGE COLUMNS LEVERAGING DEEP GENERATIVE LEARNING T. Wu, R. Wu, P. Wang, T. Lin, K. Chang | |||||||
11:30 - 11:45 | DISCUSSION | |||||||
MONITOR 1 | Convenors: X. Lu, H. Burton, J. Song | ||||||||
14:30 - 14:42 | MACHINE LEARNING-BASED SURROGATE MODEL TO SUPPORT RESILIENCE-ORIENTED PRELIMINARY SEISMIC DESIGN Q. Tang, Y. Cui | |||||||
14:42 - 14:54 | SPATIAL-VARIANT CAUSAL BAYESIAN INFERENCE FOR RAPID SEISMIC GROUND FAILURES AND IMPACTS ESTIMATION X. Li, S. Xu | |||||||
14:54 - 15:06 | AN AI BASED PARTICLE SWARM OPTIMIZATION METHOD FOR VIBRATION REDUCTION OF A SPACE FRAMED STRUCTURE P. Chaudhuri, R. Manikandan | |||||||
15:06 - 15:18 | A STUDY OF GROUND MOTION FIELD PREDICTION BASED ON U-NET NEURAL NETWORK J. Yi, Y. Zhang, Y. Zhang, H. You, S. Wang, P. Liu, F. Zhao, W. Li | |||||||
15:18 - 15:30 | A HYBRID DEEP LEARNING AND BAYESIAN UPDATING BASED REGIONAL EARTHQUAKE EARLY WARNING FRAMEWORK J. Fayaz, R. Astroza, S. Ruiz | |||||||
15:30 - 15:45 | DISCUSSION | |||||||
MONITOR 2 | Convenors: X. Lu, H. Burton, J. Song | ||||||||
14:30 - 14:42 | MACHINE LEARNING-BASED SEISMIC RESPONSE AND PERFORMANCE ASSESSMENT OF REINFORCED CONCRETE FRAMES F. Kazemi, N. Asgarkhani, N. Lasowicz, R. Jankowski | |||||||
14:42 - 14:54 | POST-EARTHQUAKE RAPID ASSESSMENT FOR UHV TRANSFORMER BUSHING USING MACHINE LEARNING TECHNIQUES W. Zhu, M. Wu, Q. Xie | |||||||
14:54 - 15:06 | MACHINE LEARNING FOR PREDICTING SEISMIC DRIFT RESPONSES OF REINFORCED CONCRETE WALL STRUCTURES H. Nguyen, C. Kim, M. Shin | |||||||
15:06 - 15:18 | PHYSICS-BASED FRAGILITY ASSESSMENT OF REGIONAL BUILDINGS USING EFFICIENT BAYESIAN METAMODELING F. Xiong, P. Su, Y. Lu | |||||||
15:18 - 15:30 | GENETIC ALGORITHM OPTIMIZATION FOR BUILDINGS USING SITE-SPECIFIC EARTHQUAKE GROUND MOTION DATA L. Guieb, G. Lorenzo, S. Guirnaldo, E.R. Aleluya, W. Guieb | |||||||
15:30 - 15:45 | DISCUSSION | |||||||
MONITOR 3 | Convenors: X. Lu, H. Burton, J. Song | ||||||||
14:30 - 14:42 | SYNTHESIS OF DESIGN SPECTRUM-COMPATIBLE GROUND MOTIONS CONSIDERING NONLINEAR RESPONSE INTENSITY D. Lin, R. Honda | |||||||
14:42 - 14:54 | EXPLAINABLE MACHINE LEARNING MODELS FOR DESIGNING CABLE RESTRAINER OF FAULT-CROSSING BRIDGES F. Zhang, Y. Fu, J. Wang | |||||||
14:54 - 15:06 | RECONSTRUCT GROUD MOTION WAVEFORMS ALL AROUND WITHOUT FAULT INVERSION USING MASKED AUTOENCODERS B. Kang, P. Wu, C. Gu, Y. Zhong, C. Zhuoyu | |||||||
15:06 - 15:18 | NEURAL NETWORK INVERSION FOR THE OPTIMAL DESIGN OF EARTHQUAKE-RESISTANT STEEL FRAMES J. Gacitua, A. Montisci, F. Pibi, M.C. Porcu, J.C. Vielma | |||||||
15:18 - 15:30 | MACHINE LEARNING-BASED CRACK DETECTION OF INFILL WALLS FOR RETROFITTING DAMAGED BUILDINGS F. Kazemi, N. Asgarkhani, R. Jankowski | |||||||
15:30 - 15:45 | DISCUSSION | |||||||
FRIDAY | ||||||||
MONITOR 1 | Convenors: X. Lu, H. Burton, J. Song | ||||||||
09:00 - 09:12 | PHYSICS-GUIDED AI PREDICTIONS OF ROCKING RESPONSES S.Y. Shen, C. Málaga-Chuquitaype | |||||||
09:12 - 09:24 | SEISMIC RESPONSE OF STEEL STRUCTURES EQUIPPED WITH BRBS USING ARTIFICIAL INTELLIGENCE TOOLS E.E. Ballinas, J.A. Escobar, H. Guerrero, V. Cecilio | |||||||
09:24 - 09:36 | A MACHINE LEARNING-BASED METHODOLOGY TO DETERMINE THE BACKBONE CURVE OF RC COLUMNS N. Elyasi, E. Kim | |||||||
09:36 - 09:48 | BRAIN EMOTIONAL LEARNING BASED CONTROLLER FOR VIBRATION ATTENUATION OF HIGH-TECH FACILITIES C. Tappiti, T. Lin, C. Lin | |||||||
09:48 - 10:00 | SEISMIC RISK ASSESSMENT USING MACHINE LEARNING FOR THE AUTOMATIC IDENTIFICATION OF BUILDING FEATURES P. Carpanese, M. Donà, F. da Porto | |||||||
10:00 - 10:12 | TESTING MACHINE LEARNING MODELS FOR RAPID DAMAGE ASSESSMENT AT REGIONAL SCALE S. Ghimire, P. Gueguen | |||||||
10:12 - 10:15 | DISCUSSION | |||||||
MONITOR 2 | Convenors: X. Lu, H. Burton, J. Song | ||||||||
09:00 - 09:12 | MARCS: MACHINE LEARNING FOR SEISMIC PERFORMANCE PREDICTION OF RC BUILDINGS ON SLOPES I. Latif, A. Banerjee, M. Surana | |||||||
09:12 - 09:24 | NEAR-REAL-TIME FRAMEWORK FOR SEISMIC PERFORMANCE CHARACTERIZATION OF A LARGE PORTFOLIO OF BUILDINGS A. Tamhidi, Y. Bozorgnia | |||||||
09:24 - 09:36 | IMPROVING COMPUTATIONAL ABILITY OF MACHINE-LEARNING ALGORITHMS WITH FEATURE SELECTION METHOD N. Asgarkhani, F. Kazemi, A. Manguri, A. Jakubczyk-Galczynska, N. Lasowicz, R. Jankowski | |||||||
09:36 - 09:48 | LONG SHORT-TERM MEMORY MODEL FOR DYNAMIC ANALYSIS OF HYSTERETIC STRUCTURES SUBJECTED TO EARTHQUAKES J. Jeon, O. Kwon, J. Song | |||||||
09:48 - 10:00 | OPTIMAL SEISMIC DESIGN OF SPECIAL MOMENT-RESISTING FRAME STRUCTURES USING GENETIC ALGORITHM M. Andalib, F. Heydari, S. Epackachi, R. Rafiee-Dehkharghani | |||||||
10:00 - 10:15 | DISCUSSION | |||||||
AMBER 2 | Convenors: X. Lu, H. Burton, J. Song | ||||||||
10:30 - 10:42 | A LARGE LANGUAGE MODEL FOR DISASTER STRUCTURAL RECONNAISSANCE SUMMARIZATION Y. Gao, G. Zhou, K. Mosalam | |||||||
10:42 - 10:54 | ON AN ACCURATE ESTIMATION OF THE SEISMIC PERFORMANCE OF RC BUILDINGS WITH SSI EFFECTS USING GBRT J.S. Baquero, J.M. Bairan, A. Ledesma | |||||||
10:54 - 11:06 | PREDICTING INTERSTORY DRIFT DISTRIBUTION OF RC STRUCTURES USING MACHINE-LEARNING METHODS B. Mohebi, N. Asgarkhani, F. Kazemi, N. Lasowicz | |||||||
11:06 - 11:18 | AUTOMATED EXTRACTION OF BUILDING TYPOLOGIES FROM A DIGITAL LAND CADASTER USING A VARIATIONAL AUTOENCODER J. de Miguel Rodriguez, A. Morales-Esteban, M.V. Requena-Garcia-Cruz, E. Romero-Sanchez | |||||||
11:18 - 11:30 | SEISMIC RESPONSE PREDICTION OF BUILDINGS USING AUGMENTED KALMAN FILTER AND DEEP LEARNING. A. A. Torky, S. Ohno | |||||||
11:30 - 11:45 | DISCUSSION |