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    The effect of foundation embedment on inelastic response of structures

    , Article Earthquake Engineering and Structural Dynamics ; Volume 38, Issue 4 , 2009 , Pages 423-437 ; 00988847 (ISSN) Mahsuli, M ; Ghannad, M. A ; Sharif University of Technology
    John Wiley and Sons Ltd  2009
    Abstract
    In this research, a parametric study is carried out on the effect of soil-structure interaction on the ductility and strength demand of buildings with embedded foundation. Both kinematic interaction (KI) and inertial interaction effects are considered. The sub-structure method is used in which the structure is modeled by a simplified single degree of freedom system with idealized bilinear behavior. Besides, the soil sub-structure is considered as a homogeneous half-space and is modeled by a discrete model based on the concept of cone models. The foundation is modeled as a rigid cylinder embedded in the soil with different embedment ratios. The soil-structure system is then analyzed subjected... 

    Risk measures for minimization of earthquake costs

    , Article Safety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures - Proceedings of the 11th International Conference on Structural Safety and Reliability, ICOSSAR 2013 ; 2013 , Pages 2619-2626 ; 9781138000865 (ISBN) Haukaas, T ; Allahdadian, S ; Mahsuli, M ; Sharif University of Technology
    2013
    Abstract
    The total cost of earthquakes is in this paper modeled as a continuous random variable that includes the cost of damage and the cost of construction to prevent damage. Realizations of this variable are obtained by evaluating an array of probabilistic models that take many basic random variables as input. Consequently, analyses can be conducted to determine the mean cost, as well as cost exceedance probabilities and other measures of seismic risk. Such results are employed to address the underlying decision problem, namely to minimize the total cost of earthquakes when that cost is a continuous random variable. Applicable decision theories are outlined and several risk measures are... 

    Application of first-order reliability method in seismic loss assessment of structures with endurance time analysis

    , Article Earthquake and Structures ; Volume 14, Issue 5 , 2018 , Pages 437-447 ; 20927614 (ISSN) Basim, M. C ; Esmaeilpour Estekanchi, H ; Mahsuli, M ; Sharif University of Technology
    Techno Press  2018
    Abstract
    Computational cost is one of the major obstacles for detailed risk analysis of structures. This paper puts forward a methodology for efficient probabilistic seismic loss assessment of structures using the Endurance Time (ET) analysis and the first-order reliability method (FORM). The ET analysis efficiently yields the structural responses for a continuous range of intensities through a single response-history analysis. Taking advantage of this property of ET, FORM is employed to estimate the annual rate of exceedance for the loss components. The proposed approach is an amalgamation of two analysis approaches, ET and FORM, that significantly lower the computational costs. This makes it... 

    Resilience of civil infrastructure by optimal risk mitigation

    , Article Scientia Iranica ; Volume 23, Issue 5 , 2016 , Pages 1961-1974 ; 10263098 (ISSN) Mahsuli, M ; Sharif University of Technology
    Sharif University of Technology  2016
    Abstract
    This paper puts forward a framework for optimal mitigation of regional risk to enhance the resilience of civil infrastructure. To meet this objective, probabilistic models, methods, and software are developed and applied. The work is conducted within a new reliability-based approach, in which reliability methods compute risk. This contrasts several contemporary approaches for risk analysis. Risk, in this context, denotes the probability of exceeding monetary loss. Evaluating such probabilities requires probabilistic models for hazards, response, damage, and loss. This motivates the following contributions in this paper. First, a new computer program is developed that is tailored to conduct... 

    Quantification of optimal target reliability for seismic design: Methodology and application to steel buildings

    , Article Soil Dynamics and Earthquake Engineering ; Volume 170 , 2023 ; 02677261 (ISSN) Habibi, K ; Hosseini Varzandeh, S. S ; Mahsuli, M ; Sharif University of Technology
    Elsevier Ltd  2023
    Abstract
    The reliability levels against which seismic standards are calibrated are currently quantified based on accepted practice, which may not lead to optimal designs that minimize the lifecycle cost. Deviation from optimal design is even more pronounced in countries whose regulations are adopted from the few leading codes. A major challenge in the quantification of optimal target reliability for the countries with such adopted codes is the lack of risk models that are suited for the local construction industry and design practices. This paper presents a holistic risk-based framework to quantify the optimal target reliability for seismic design through the notion of minimum lifecycle cost. To... 

    Seismic risk analysis with reliability methods, part II: Analysis

    , Article Structural Safety ; Volume 42 , 2013 , Pages 63-74 ; 01674730 (ISSN) Mahsuli, M ; Haukaas, T ; Sharif University of Technology
    2013
    Abstract
    Reliability methods are employed in this paper to analyze the seismic risk to the Vancouver metropolitan region in Canada. The use of reliability methods contrasts with several contemporary approaches for risk analysis. In this paper, two analysis approaches are presented and implemented in a new computer program. One utilizes the first-order and second-order reliability methods together with a hazard combination technique. The other is a sampling-based method that repeatedly generates damage scenarios in the time period of interest. Both strategies employ the same collection of probabilistic models for seismic risk analysis. While the models are presented in the companion paper, this paper... 

    Sensitivity measures for optimal mitigation of risk and reduction of model uncertainty

    , Article Reliability Engineering and System Safety ; Volume 117 , 2013 , Pages 9-20 ; 09518320 (ISSN) Mahsuli, M ; Haukaas, T ; Sharif University of Technology
    2013
    Abstract
    This paper presents a new set of reliability sensitivity measures. The purpose is to identify the optimal manner in which to mitigate risk to civil infrastructure, and reduce model uncertainty in order to improve risk estimates. Three measures are presented. One identifies the infrastructure components that should be prioritized for retrofit. Another measure identifies the infrastructure that should be prioritized for more refined modeling. The third measure identifies the models that should be prioritized in research to improve models, for example by gathering new data. The developments are presented in the context of a region with 622 buildings that are subjected to seismicity from several... 

    Seismic risk analysis with reliability methods, part I: Models

    , Article Structural Safety ; Volume 42 , 2013 , Pages 54-62 ; 01674730 (ISSN) Mahsuli, M ; Haukaas, T ; Sharif University of Technology
    2013
    Abstract
    A library of probabilistic models for prediction of seismic risk is presented. The models are specifically intended for use with reliability methods to compute event probabilities, such as seismic loss probabilities. Several models are presented here for the first time. In particular, new and generic models are proposed for earthquake location, regional loss, building response, building damage, and building loss. Each model is presented with an explanation of its development and a discussion of its predictions. In addition, models from the literature are " smoothed" to make them amenable to reliability analysis. The models are implemented in a new computer program that is tailored for... 

    Web-Based Risk Communication as a Strategy for Seismic Risk Mitigation

    , M.Sc. Thesis Sharif University of Technology Ghasemi, Amin (Author) ; Mahsuli, Mojtaba (Supervisor)
    Abstract
    A web-based system is designed and implemented at cira.civil.sharif.edu as a risk communication tool to incentivize the society to take seismic risk mitigation measures. Risk denotes the expected monetary and social losses herein. The objective of this system is to raise the awareness of two groups of audience, i.e., the general public and policymakers,about the significant seismic risk in Iran. To address the general public, the system employs the notion of risk perception to put the results of sophisticated earthquake engineering risk analyses into perspective. The system also treats the epistemic uncertainty in the user input due to general public’s lack of technical knowledge through the... 

    Seismic Risk Analysis of the City of Golpayegan Using Reliability Methods

    , M.Sc. Thesis Sharif University of Technology Zibaei, Yasin (Author) ; Mahsuli, Mojtaba (Supervisor)
    Abstract
    This thesis presents the seismic hazard and seismic risk analysis of the City of Golpayegan using reliability methods and multiple interacting probabilistic models. These models evaluate the seismic hazard intensity by simulating the hazard event and evaluate the seismic risk by simulating the building portfolio and infrastructure systems under the hazard event and quantifying the ensuing consequences. In this context, hazard is the exceedance probability of a ground shaking intensity measure, and risk is the exceedance probability of social and economic losses. This is the first time in the literature that reliability methods are applied in evaluating the seismic risk of a real-world city... 

    Probabilistic Framework for Evaluating Community Resilience

    , M.Sc. Thesis Sharif University of Technology Nasrazadani, Hossein (Author) ; Mahsuli, Mojtaba (Supervisor)
    Abstract
    This study proposes a probabilistic framework to quantitatively evaluate the resilience of a community comprising a building stock, commercial facilities, and interdependent infrastructure systems. To this end, the proposed framework employs Monte Carlo sampling in which each sample comprises multiple stages. The sample starts with the occurrence of a hazard event. It then follows by evaluating the consequences incurred by the community in the face of the hazard event. It is concluded by simulating the operations aimed at complete recovery of the community comprising inspection, rescue and relief, restoration, and recovery. For this purpose, chains of interacting probabilistic models are... 

    Optimal Target Reliability for Seismic Design of Mid-rise Steel Buildings Based on Detailed Risk Analysis

    , M.Sc. Thesis Sharif University of Technology Habibi, Kasra (Author) ; Mahsuli, Mojtaba (Supervisor)
    Abstract
    Most of the seismic regulations in the Iranian design codes are adopted from the U.S. codes, while the severe earthquake rates with regards to the gross area and total population of Iran is 8.4 and 5.5 times the rates for U.S. respectively. In fact, Iranian rates are between the ones for U.S. and Japan which have up to 200% difference in prescribed strength level in their seismic codes. Poor construction quality regarding defected control in Iran adds to the problem. Therefore, the prescribed strength level of U.S. building codes and thus their target reliability index seems insufficient for use in Iran. Also, previous research has shown that the load and resistance factors in Iranian... 

    Optimal Enhancement of Community Resilience through Prioritization of Recovery Operations for Interdependent Infrastructures

    , M.Sc. Thesis Sharif University of Technology Naderi, Mahdi (Author) ; Mahsuli, Mojtaba (Supervisor)
    Abstract
    In this study, community resilience after a disaster is optimally enhanced for interdependent infrastructures through prioritization of recovery operations considering limited resources. Optimal enhancement of community resilience can be performed at two levels: Pre-disaster and Post-disaster. In the pre-disaster level, resilience enhancement is achieved through optimization of long-term decision making that includes optimized allocation of resources to retrofit of buildings. However, in the post-disaster response and recovery period, allocating resources to retrofit or backup systems is infeasible. Therefore, in the post-disaster level considered in this study, resilience enhancement is... 

    Experimental evaluation of steel moment resisting frames with a nonlinear shear fuse

    , Article Joint Geotechnical and Structural Engineering Congress 2016, 14 February 2016 through 17 February 2016 ; 2016 , Pages 624-634 ; 9780784479742 (ISBN) Mahmoudi, F ; Dolatshahi, K.M ; Mahsuli, M ; Shahmohammadi, A ; Nikoukalam, M.T ; Sharif University of Technology
    American Society of Civil Engineers (ASCE)  2016
    Abstract
    This paper presents the experimental investigation of an innovative energy dissipation system in steel moment resisting frames. In the proposed system, a replaceable beam with a smaller cross-section than that of the main beam is placed at the mid span of the beam designed to act as a shear fuse. This shifts the location of the plastic hinging from the end of the beam to the middle since the shear fuse yields in shear prior to the flexural yielding of the main beam. This system eliminates the need to comply with the rigorous limitation on the beam span-To-depth ratio that is proposed by seismic design codes to ensure the formation of plastic hinges at the two ends of the beam. Moreover, this... 

    Development of Procedures, Forms and Tools for Post-Earthquake Reconnaissance

    , M.Sc. Thesis Sharif University of Technology Mehdipour, Reza (Author) ; Mahsuli, Mojtaba (Supervisor)
    Abstract
    This study aims to design and develop procedures, forms, and tools for post-earthquake reconnaissance. The current procedure for data collection is based on the sending of groups to identify the dimensions of the evidence and its consequences by the executive and responsible institutions. Studying and reviewing the reports that have been produced by this method shows that there is not any systematic mechanism for collecting data on a wide scale and from all aspects of the evidence. The limited data collected by the executive and responsible institutions are scattered in the reports and are less documented in the database. Therefore, it is necessary to collect big data on the severity and... 

    Stochastic Ground Motion Modeling Using Deep Learning

    , Ph.D. Dissertation Sharif University of Technology Masoudifar, Mohsen (Author) ; Mahsuli, Mojtaba (Supervisor)
    Abstract
    This dissertation proposes a probabilistic framework for simulating three-dimensional ground motion time series using deep learning based on Generative Adversarial Networks (GANs) and Convolutional Neural Networks (CNNs). The proposed framework for generating synthetic ground motion consists of two distinct deep learning-based modules: signal generation and amplitude prediction. The first module generates normalized three-dimensional ground motion time series given source and site characteristics. For this purpose, a conditional Wasserstein GAN (WGAN) is designed. The second module predicts the peak ground acceleration (PGA) for the three spatial components of the generated normalized ground... 

    Probabilistic seismic hazard analysis of Iran using reliability methods

    , Article Bulletin of Earthquake Engineering ; 2018 ; 1570761X (ISSN) Mahsuli, M ; Rahimi, H ; Bakhshi, A ; Sharif University of Technology
    Springer Netherlands  2018
    Abstract
    Structural reliability methods are employed in this paper for nationwide probabilistic seismic hazard analysis of Iran and in-depth seismic hazard and hazard sensitivity analysis of Downtown Tehran. The companion paper proposes two analysis approaches based on reliability methods and presents the technical framework for such analyses. The first approach was based on Monte Carlo sampling reliability analysis, which is employed here to conduct hazard analysis at a grid comprising 3695 sites throughout Iran. The results are used to produce nationwide hazard maps for the peak ground acceleration, spectral acceleration, and cumulative absolute velocity. The other analysis approach employs the... 

    Probabilistic seismic hazard analysis of Iran using reliability methods

    , Article Bulletin of Earthquake Engineering ; Volume 17, Issue 3 , 2019 , Pages 1117-1143 ; 1570761X (ISSN) Mahsuli, M ; Rahimi, H ; Bakhshi, A ; Sharif University of Technology
    Springer Netherlands  2019
    Abstract
    Structural reliability methods are employed in this paper for nationwide probabilistic seismic hazard analysis of Iran and in-depth seismic hazard and hazard sensitivity analysis of Downtown Tehran. The companion paper proposes two analysis approaches based on reliability methods and presents the technical framework for such analyses. The first approach was based on Monte Carlo sampling reliability analysis, which is employed here to conduct hazard analysis at a grid comprising 3695 sites throughout Iran. The results are used to produce nationwide hazard maps for the peak ground acceleration, spectral acceleration, and cumulative absolute velocity. The other analysis approach employs the... 

    Probabilistic Damage Models for Detailed Risk Analysis of Buildings with Reliability Methods

    , M.Sc. Thesis Sharif University of Technology Aghababaei Shahrestani, Mohammad (Author) ; Mahsuli, Mojtaba (Supervisor)
    Abstract
    A probabilistic approach to modeling the seismic damage incurred by structural and nonstructural components is developed in this study. For this purpose, Bayesian linear regression is employed to characterize the epistemic uncertainty in the model. In this approach, regressors are constructed based on the mechanics of damage. In turn, the probability distributions of the model parameters and the model error are quantified by Bayesian regression using real-life data from laboratory experiments and/or post-earthquake inspections of damaged components. The study presents the stepwise procedure of collecting the observations, quantifying the repair costs, developing model forms, performing model... 

    Emergency Management Decision Support System Based on Bayesian Network

    , M.Sc. Thesis Sharif University of Technology Khani Dehaj, Mohammad (Author) ; Mahsuli, Mojtaba (Supervisor)
    Abstract
    This research proposes a probabilistic framework for decision support in emergency response. Currently, decision-making is traditionally based on data from reconnaissance teams, while there are other information sources that assist decision-making. These sources of information include social sensors, physical sensors, aerial imaging, and crowdsourcing. The information obtained from these sources is heterogeneous and uncertain, requires a probabilistic data fusion framework to be used in decision making. This research employs Bayesian Networks for this purpose. The outstanding feature of the Bayesian Network is its real-time nature, which set apart it from other methods. This feature makes...