................................................................................................................................. iii ACKNOWLEDGMENTS ........................................................................................................... iv TABLE OF CONTENTS ..............................................................................................................v LIST OF FIGURES ..................................................................................................................... ix LIST OF TABLES ....................................................................................................................... xi FOREWORD.............................................................................................................................. xiii 1 BACKGROUND AND PURPOSE ..................................................................................... 1 2 WORK PLAN ....................................................................................................................... 5 2.1 Form Core Group ............................................................................................................5 2.2 Develop Background on Expected Seismic Performance of Code-Designed Buildings. ........................................................................................................................5 2.3 Obtain Input Regarding Seismic Performance of Tall Buildings from Selected Stakeholders ....................................................................................................................6 2.4 Hold Workshop to Discuss and Consolidate Interview Material6 2.5 Synthesize Input to Formulate Conclusions and Recommendations Regarding Seismic Performance of Tall Buildings ..........................................................................6 3 FINDINGS............................................................................................................................. 7 3.1 Expected Seismic Performance of Code-Designed Buildings ........................................7 3.1.1 Background of Buildings Codes and Seismic Provisions...................................7 3.1.2 SEAOC Blue Book .............................................................................................8 3.1.3 ATC 3 and Zero Risk ..........................................................................................9 3.1.4 ATC 63..............................................................................................................10 3.1.5 Definition of Ground Motions for Performance Objectives .............................11 3.1.6 FEMA 273.........................................................................................................12 3.1.7 Vision 2000 .......................................................................................................13 3.1.8 ICC Performance Code .....................................................................................14 3.1.9 2008 NEHRP Provisions (BSSC 2009) ............................................................15 3.1.10 PEER Methodology and ATC 58—Next Generation of Seismic Performance-Based Design...............................................................................16

Seismic Performance Objectives for Tall Buildings A Report for the Tall Buildings Initiatve

........................................................................................................... iii Acknowledgements ............................................................................................ v Table of

Identification of cost-effective retrofit and/or rehabilitation strategies for steel buildings

Substructure hybrid simulation has been actively investigated in recent years. The simulation method allows for the assessment of seismic performance of structures by representing critical components with physical specimens and the rest of the structure with numerical models. In this study the system level performance of a six-storey structure with self-centering energy dissipative (SCED) braces was validated through pseudo dynamic (PsD) hybrid simulation. Fragility curves are derived for the SCED system. The study presents the configuration of the hybrid simulation and discusses some of the practical intricacies in performing PsD hybrid simulations. In addition the study addresses some of the challenges associated with the substructuring process during a hybrid simulation. Two techniques, extensive analytical study and model updation, are discussed to improve the response from the hybrid simulation accounting for the variation in global response of a structural system depending on which structural element was represented as a physical specimen.%%%%MAST

Application of Hybrid Simulation to Fragility Assessment of Self-centering Energy Dissipative (SCED) Bracing System

A Simplified Performance-Based Procedure for the Prediction of Lateral Spread Displacements Levi Thomas Ekstrom Department of Civil and Environmental Engineering, BYU Master of Science Characterization of the seismic hazard and ground-failure hazard of a site using traditional empirical lateral spread displacement models requires consideration of uncertainties in seismic loading, site conditions, and model prediction. Researchers have developed performance-based design methods to simultaneously account for these sources of uncertainty through the incorporation of a probabilistic analytical framework. While these methods can effectively handle the various sources of uncertainty associated with empirical lateral spread displacement prediction, they can be difficult for engineers to perform in a practical manner without the use of specialized numerical tools. To make the benefits of a performance-based approach accessible to a broader audience of geotechnical engineers, a simplified performancebased procedure is introduced in this paper. This map-based procedure utilizes a reference soil profile to provide hazard-targeted reference displacements across a geographic area. Equations are provided for engineers to correct those reference displacements for site-specific soil conditions and surface geometry to produce site-specific, hazard-targeted estimates of lateral spread displacement. The simplified performance-based procedure is validated through a comparative study assessing probabilistic lateral spread displacements across several cities in the United States. Results show that the simplified procedure closely approximates the results from the full performance-based model for all sites. Comparison with deterministic analyses are presented, and the place for both in engineering practice are discussed.

/pdf/a-simplified-performance-based-procedure-for-the-prediction-zxqua6g1q5.pdf

A Simplified Performance-Based Procedure for the Prediction of Lateral Spread Displacements

One of the main steps in the performance based seismic analysis and design of structures is determination of performance point where the nonlinear static analysis approach is used. The aim of this paper is to predict the performance point of semi-rigid steel frames using Artificial Neural Networks. As such, to generate data required for the prediction, several semirigid steel frames were modeled and their performance point was determined then. Ten input variables including number of bays, number of stories, bays width, moment of inertia of beams, cross sectional area of columns, cross sectional area of braces, rigidity degree of connections and soft story (existence or nonexistence) were considered in the prediction. In addition, the actual results were obtained at the presence of different earthquake intensity levels and soil types. Back Propagation with eleven different algorithms and Radial Basis Function Artificial Neural Networks were used in the prediction. The prediction process was carried out in two steps. In the first step, all samples were used for the prediction and the performance metrics were computed. In the second step, three of the best networks were selected, and the optimum number of samples was found considering a very slight reduction in the accuracy of the networks used. Finally, it was shown that, despite using rather limited number of samples, the generated Artificial Neural Networks accurately predict the performance point of semi-rigid steel frames.

/pdf/prediction-of-performance-point-of-semi-rigid-steel-frames-2s0hq1a34w.pdf

Prediction of Performance Point of Semi-Rigid Steel Frames Using Artificial Neural Networks

Performance based seismic engineering of buildings : final report

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Performance based seismic engineering of buildings : final report