Abdollah Shafieezadeh

Abdollah Shafieezadeh
The Ohio State University | OSU · Department of Civil, Environmental and Geodetic Engineering

Ph.D.

About

139
Publications
28,054
Reads
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1,926
Citations
Citations since 2017
97 Research Items
1762 Citations
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Education
August 2011 - August 2012
Georgia Institute of Technology
Field of study
  • Civil/Structural Engineering & Public Policy
August 2008 - August 2011
Georgia Institute of Technology
Field of study
  • Civil/Structural Engineering; Minor in Probability and Statistics
August 2006 - August 2008
Utah State University
Field of study
  • Civil/Structural Engineering

Publications

Publications (139)
Article
Accurate estimation of extreme wind-induced loads is key to the cost-effective and reliable performance-based design of overhead lattice transmission towers. Particularly, drag coefficient and gust response factors are among the main aerodynamic properties of these structures for the estimation of equivalent static wind loads. Wind design standards...
Article
Fission Batteries (FBs) are envisioned to be highly mobile, autonomously operating, and economically competitive small nuclear power reactor systems useable for generating electric power or heat. Such novel systems will face unique challenges pertaining to siting and transportation. This paper presents the findings and recommendations of the 2021 I...
Conference Paper
Full-text available
Transmission towers are one of the main components of the grid in carrying high voltage electricity. These key structures, however, have sustained considerable damage during past earthquake events. This study is aimed at identifying significant factors for the seismic reliability of transmission towers on sloping grounds considering the effects of...
Preprint
Full-text available
This paper investigates whether socioeconomic factors are important for the hurricane performance of the electric power system in Florida. The investigation is performed using the Random Forest classifier with Mean Decrease of Accuracy (MDA) for measuring the importance of a set of factors that include hazard intensity, time to recovery from maximu...
Article
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Optimum intensity measures of ground motions have been extensively investigated in order to improve the quality of probabilistic seismic demand models. Common scalar-type intensity measures prevail in availability and computability but are less satisfactory when predicting seismic responses of systems with multiple contributing vibration modes and...
Article
Full-text available
Structural health monitoring (SHM) technologies offer ever-increasing opportunities to continually observe various responses and states of structures, such as settlement-induced building damage. Recent advances in reliability updating have enabled estimating the probability of failing to meet a prescribed objective for systems using various types o...
Article
Physical phenomena are often described by partial differential equations (PDEs), which have been traditionally solved using computationally demanding finite element, difference, or volume methods to produce labeled data. Due to its multi-query nature, characterization of event probabilities requires many such simulations, which can become prohibiti...
Article
Full-text available
Population growth, economic development, and rapid urbanization in many areas have led to increased exposure and vulnerability of structural and infrastructure systems to hazards. Thus, developing risk-based assessment and management tools is crucial for stakeholders and the general public to make informed decisions on pre-hazard planning and post-...
Article
Wood poles are among key components of the overhead grid infrastructure that are highly vulnerable to wind hazards. In coastal regions where hurricanes are often accompanied with a storm surge, in addition to high wind pressure, poles may experience significant surge and wave loads with the potential of triggering multiple failure mechanisms. Howev...
Preprint
Significant outages from weather and climate extremes have highlighted the critical need for resilience-centered risk management of the grid. This paper proposes a multi-stage stochastic robust optimization (SRO) model that advances the existing planning frameworks on two main fronts. First, it captures interactions of operational measures with har...
Conference Paper
Full-text available
Electrical transmission towers are an integral part of the power distribution system globally. Previous studies have shown that they can be vulnerable to high intensity non-synoptic wind events such as downbursts. This paper studies and compares the dynamic response of a single self-supported transmission tower to downburst and synoptic atmospheric...
Conference Paper
The drag coefficients and gust response factors of overhead lattice transmission towers are the main aerodynamic characteristics of such structures that help determine the equivalent static wind loads. ASCE Manual No. 7 recommends values for the global drag coefficients of generic lattice frames based on their solidity ratio. Moreover, ASCE Manual...
Article
Full-text available
Adaptive reliability analysis methods based on surrogate models, especially kriging, have been successfully implemented in many problems. However, the application of kriging is limited to low-dimensional problems with noncategorical performance data. Support vector machine (SVM), by contrast, addresses these limitations, but its application in reli...
Article
Wood poles are among key components of the overhead grid infrastructure that are highly vulnerable to wind hazards. In coastal regions where hurricanes are often accompanied with a storm surge, in addition to high wind pressure, poles may experience significant surge and wave loads with the potential of triggering multiple failure mechanisms. Howev...
Article
Full-text available
Breach due to overtopping is the most common failure mode of earthen levees. Historic records and future projections consistently show exacerbating patterns in the frequency and severity of floods in several regions, which can increase the probability of levee overtopping. The main objective of this study is twofold: (1) to present a comprehensive...
Article
Bayesian updating provides a sound mathematical framework for probabilistic calibration as new information emerges. Bayesian Updating with Structural reliability methods (BUS) reformulates the acceptance domain in rejection sampling as a failure domain in reliability analysis, offering considerable potential for higher efficiency and accuracy. Krig...
Chapter
With the increasing reliance on the constant flow of electricity, risk-based management strategies are increasingly needed to ensure that with limited available resources, the grid can maintain high reliability and resilience. A growing concern in meeting this objective is the impact of climatic extremes, as the wide exposure of the power grid infr...
Article
Full-text available
During their lifetime, sewer networks face risks of infiltration or exfiltration, restriction of flow capacity, and loss of structural integrity. These factors individually or combined can impact the public health and the environment. This study is aimed at analyzing uncertainties contributing to the service life performance of sewer pipes under co...
Preprint
Full-text available
In many fields of science and engineering, models with different fidelities are available. Physical experiments or detailed simulations that accurately capture the behavior of the system are regarded as high-fidelity models with low model uncertainty, however, they are expensive to run. On the other hand, simplified physical experiments or numerica...
Preprint
Full-text available
Flow network models can capture the underlying physics and operational constraints of many networked systems including the power grid and transportation and water networks. However, analyzing reliability of systems using computationally expensive flow-based models faces substantial challenges, especially for rare events. Existing actively trained m...
Article
n many fields of science and engineering, models with different fidelities are available. Physical experiments or detailed simulations that accurately capture the behavior of the system are regarded as high-fidelity models with low model uncertainty; however, they are expensive to run. On the other hand, simplified physical experiments or numerical...
Article
Full-text available
Optimal management of systems over their service life as they face a multitude of uncertainties remains a significant challenge. While additional information can reduce uncertainties, collecting new information incurs cost and may include observation error. Value of Information (VoI) analysis facilitates quantitative assessment of the expected net...
Article
Full-text available
Metamodel-based approaches to reliability analysis, e.g., adaptive Kriging, are computationally challenged by the complexity of reliability problems, thus limiting the application of these methods to problems that are low-dimensional or not rare. Here, we propose a reliability analysis approach via a deep integration of subset simulation and adapti...
Article
Flow network models can capture the underlying physics and operational constraints of many networked systems including the power grid and transportation and water networks. However, analyzing systems’ reliability using computationally expensive flow-based models faces substantial challenges, especially for rare events. Existing actively trained met...
Preprint
Reinforcement learning (RL) has shown a promising performance in learning optimal policies for a variety of sequential decision-making tasks. However, in many real-world RL problems, besides optimizing the main objectives, the agent is expected to satisfy a certain level of safety (e.g., avoiding collisions in autonomous driving). While RL problems...
Chapter
Acute impacts of past extreme climatic events on power distribution networks (PDNs) have highlighted the significance of resilience in PDNs. However, maintaining and enhancing the resilience of PDNs over an extended horizon is challenging and requires long-term planning. This chapter presents a decision-making framework for resilience enhancement o...
Article
Reliable prediction of seismic responses of bridges against lateral spreading is critical for fragility and resilience assessment of transportation infrastructure. This problem, however, has remained a significant challenge due to the high complexity of the liquefaction phenomenon and its significance for the seismic performance of structures. The...
Article
Full-text available
A significant challenge with reliability-based design optimization (RBDO) is the high computational cost associated with the double-loop structure that entails a large number of function calls for both the optimization process and reliability analysis. Several decoupling methods have been developed to improve the efficiency of RBDO. In addition, su...
Article
Distribution systems in the US are commonly supported by wood utility poles. Since wood poles may experience substantial decay rates, current standards specify a strength-based maintenance program for pole replacement regardless of the poles’ vulnerability and importance in the system. While state-of-the-art methods have developed risk-based metric...
Article
Full-text available
An appropriate seismic intensity measure (IM) for response prediction is central to reliable probabilistic seismic demand modeling of structures and subsequently, risk and resilience quantification. Bridges in liquefiable and laterally spreading ground may undergo nonlinear responses with large uncertainties when subjected to earthquakes. These iss...
Article
New information obtained through measurements provide an opportunity to update estimates of a system's reliability. For equality type information, reliability updating is a daunting task. The current state-of-the-art method, reliability updating with equality information using adaptive Kriging (RUAK), integrates an adaptive Kriging process with a t...
Article
Power distribution systems are continually challenged by extreme climatic events. The reliance of the energy sector on overhead infrastructures for electricity distribution has necessitated a paradigm shift in grid management toward resilience enhancement. Grid hardening strategies are among effective methods for improving resilience. Limited budge...
Article
Full-text available
Existing bridge performance metrics are limited in their ability to objectively reflect the safety and serviceability of bridges and identify effective Maintenance, Repair and Replacement (MR&R) actions for a large number of bridges in the face of budget constraints. This study presents a comprehensive optimal budget allocation framework with an in...
Preprint
Full-text available
Metamodel-based approaches to reliability analysis, e.g. adaptive Kriging, are computationally challenged by the complexity of reliability problems, thus limiting the application of these methods to problems that are low-dimensional or not rare. Here, we propose a reliability analysis approach via integration of subset simulation and adaptive krigi...
Article
Probabilistic life-cycle cost (LCC) analysis facilitates optimal management of infrastructure systems under uncertainty. Despite recent advancements, accurate and efficient estimation of the LCC of systems facing risk of exposure to multiple stochastic occurrences of hazards has remained a significant challenge. This paper proposes a Markovian LCC...
Article
Full-text available
The progression length at various stages of backward erosion piping (BEP) in levee systems can serve as a key engineering demand parameter for reliability and risk assessments. The main goal of this study is to put forward a reliable and computationally efficient technique for predicting the progression length during BEP. Many existing modeling app...
Article
Full-text available
Suspended building structures have inherent architectural aesthetics and are able to achieve low seismic-induced displacements of the primary structure and accelerations of the suspended segments. A recently proposed subtype of suspended building structures harnesses discrete prefabricated modules to overcome the fragility originating from inter-st...
Conference Paper
With the rise in the intensity and frequency of extreme weather events, short- and long-term planning have become more necessary to enhance the capability of sanitary and combined sewer networks to cope with potential disruptions in their serviceability. Based on the previous reports and observations, separation of pipe joints, leaks, breaks, and c...
Article
Suspended buildings typically have a core as the primary and suspended floors as the secondary structures. These configurations offer visual transparency, smaller vertical components, and seismic attenuation via the primary–secondary structure interaction. Such attenuation is further enhanced by the modularization of the suspended segment which all...
Article
Identifying key variables that influence crack formation in buried concrete sewer pipes and impact their structural integrity is crucial for evaluating the leakage and collapse vulnerability of these underground structures. The present study performs a comprehensive global sensitivity analysis for these critical pipe responses considering various u...
Article
This study investigates the influence of intensity measure (IM) selection on simulation-based regional seismic risk assessment (RSRA) of spatially distributed structural portfolios. First, a co-simulation method for general spectral averaging vector IMs is derived. Then a portfolio-level surrogate demand modeling approach, which incorporates the se...
Article
Full-text available
Large uncertainties in many phenomena have challenged decision making. Collecting additional information to better characterize reducible uncertainties is among decision alternatives. Value of information (VoI) analysis is a mathematical decision framework that quantifies expected potential benefits of new data and assists with optimal allocation o...
Article
For geotechnical systems involving complex behaviors and significant uncertainties, metamodeling-based reliability methods based on fixed designs of experiment (passive metamodeling methods) are frequently applied. However, because of the passive nature of these methods, they do not guarantee accurate probability estimates. This issue also persists...
Conference Paper
Full-text available
Due to the complexity of wave propagation in soil media and the uncertainty in geotechnical material properties, predicted surface motions using theoretical wave propagation models often deviate from recorded surface ground motions. This gap highlights the need for more representative seismic wave propagation models. Seismic wave propagation based...
Preprint
A prominent threat to key structures and components in critical facilities, especially during a tornado or hurricane, is impact by wind-borne projectiles. This phenomenon is extremely nonlinear and involves a large set of uncertain variables. To develop cost-effective design formulae it is critical to identify factors that are significant for the i...
Preprint
Full-text available
Large uncertainties in many phenomena of interest have challenged the reliability of pertaining decisions. Collecting additional information to better characterize involved uncertainties is among decision alternatives. Value of information (VoI) analysis is a mathematical decision framework that quantifies expected potential benefits of new data an...
Preprint
As models in various fields are becoming more complex, associated computational demands have been increasing significantly. Reliability analysis for these systems when failure probabilities are small is significantly challenging, requiring a large number of costly simulations. To address this challenge, this paper introduces Reliability analysis th...
Article
Full-text available
Power distribution systems in the US are commonly supported by wood utility poles. These assets require regular maintenance to enhance the reliability of power delivery to support many dependent functions of the society. Limitations in budget, however, warrant efficient allocation of limited resources based on optimal preventive maintenance plans....
Article
Full-text available
Bayesian updating offers a powerful tool for probabilistic calibration and uncertainty quantification of models as new observations become available. By reformulating Bayesian updating into a structural reliability problem via introducing an auxiliary random variable, the state-of-the-art Bayesian updating with structural reliability method (BUS) h...
Article
In coastal regions, accurate prediction of the inundation risks posed by tropical cyclones and other severe weather is key to mitigating disaster impacts. Predictions of these risks are often provided by numerical models; however, these models also frequently do not consider inundation due to wind-sea wave run-up. Neglecting such effects may be mis...
Conference Paper
Full-text available
Bridges are among critical components of transportation infrastructure systems. These structures can experience multiple low probability-high consequence natural hazards, such as earthquake, during their long lifetime. Vast economic, social, and environmental consequences of seismic-induced damages to bridges demand for comprehensive multi-faceted...
Conference Paper
Full-text available
Lifecycle analysis of levees against storm surge hazards is critical for the development of cost-effective risk mitigation solutions. This paper introduces a probabilistic framework for lifecycle analysis of levees by considering the impacts of storm surge hazard on the backward erosion of levees. Soil backward erosion can be described by the follo...
Article
Full-text available
Reliable computational models of transmission towers are key to improved hurricane risk management of transmission systems. However, a comprehensive understanding of involved complexities and their effects on the extreme wind performance of towers is not available. Particularly, buckling effects have not been captured properly and the failure of jo...
Conference Paper
Ports play a vital role in the nation’s economic well-being, and any disruptions to ports may incur significant economic loss to seaport stakeholders and the society. This study evaluates the resilience of a seaport and the economy in response to extreme events of earthquakes. Using the nonlinear time-history analysis of geo-structure models, the s...
Article
Bayesian techniques – widely used to update the distributions of involved uncertain system variables based on new observations at different points in space and time – can be highly demanding and prohibitive in cases of sophisticated computational models. Here, we propose a highly efficient Bayesian updating framework that is integrated with multiva...
Conference Paper
Full-text available
Bayesian updating is a powerful tool for model calibration and uncertainty quantification when new observations are available. By reformulating Bayesian updating into a structural reliability problem and introducing an auxiliary random variable, the state-of-the-art BUS algorithm has showcased large potential to achieve higher accuracy and efficien...
Conference Paper
Adaptive Kriging-based reliability analysis methods have shown great advantages over conventional methods for their computational efficiency and accuracy. However, the widely accepted learning strategies such as Expected Feasibility function and U function can select one training point for each iteration, and therefore are not suitable for parallel...
Article
Full-text available
The ever-increasing complexity of numerical models and associated computational demands have challenged classical reliability analysis methods. Surrogate model-based reliability analysis techniques, and in particular those using kriging meta-model, have gained considerable attention recently for their ability to achieve high accuracy and computatio...
Conference Paper
Full-text available
Reliability of soil slopes has been studied extensively under the assumption of homogeneous properties for soil layers. However, an abundance of field measurements obtained from fall cone tests (FCT), field vane tests (FVT), and cone penetration tests (CPT) have shown spatial variability of strength properties of soil layers. Several recent investi...
Article
Full-text available
In performance-based earthquake engineering, probabilistic seismic demand models of structures are essential components that provide probabilistic estimates of earthquake-induced demands as a function of a variable(s) called the ground motion intensity measure (IM). Uncertainties in these models are often dependent on the IM used. Extending from tr...
Article
Full-text available
A probabilistic seismic demand modeling approach with the optimal intensity measure (IM) parameters determined a posteriori (POS-PSDM) is employed to examine and compare the full potential of the explanatory power of different IM formulations. A total of six IM formulations adopting the optimal IM parameters determined a posteriori (i.e. POS-IMs) a...
Article
Full-text available
During earthquakes, extended pile-shaft-supported bridges in laterally spreading ground can undergo inelastic deformations especially in their embedded portions. Following earthquakes, it is critical to assess damage to these difficult-to-inspect portions and determine whether vehicles can safely pass bridges. This paper aims to identify optimal ab...
Article
A Bayesian updating method is proposed to estimate a Markov chain based concrete deck deterioration model in a manner that combines condition data collected over two consecutive inspections and the deterioration information available prior to the collection of these data. A dataset of bridge deck condition assessments based on AASHTO condition stat...
Article
Full-text available
A primary goal of bridge management systems is to identify maintenance, repair, and replacement (MR&R) strategies that maximize benefits and minimize losses, often expressed in terms of cost. A major factor that greatly impacts outcomes of these frameworks, that is, the most appropriate MR&R strategies, is the cost of implementation and associated...
Presentation
Full-text available
Over 100,000 miles of levees in the United States protect communities from storm surge. Analysis of reliability of these systems against surge hazard is critical to determine the likelihood of failures and develop cost-effective risk mitigation solutions. Instability along with external erosion, internal erosion, and hydraulic failure are considere...
Article
Infrastructure systems, especially in hazard-prone regions, may face multiple occurrences of multiple types of hazards during their lifetime. The type and intensity of the hazards and impacts on systems can vary from one event to another. An important factor that has yet to be properly addressed in natural hazard loss estimation models is the impac...
Conference Paper
Full-text available
To simplify the process of optimal IM identification and further reduce the variability of demand models for regional seismic performance assessment, the concept of adaptive intensity measures (ADP-IMs) is proposed. A systematic optimization process is established to adaptively identify the optimal IM parameters of ADP-IMs for the given structural...
Article
Stochastic averaging method based on energy envelope for a non-integrable system reduces the dimension of dynamic systems, while preserving the nonlinearity in system behavior and its stochasticity arising from input excitations. However, this approach f