Leonardo Dueñas-Osorio

Rice University · Department of Civil and Environmental Engineering

Rapid restoration of access to essential goods and services has long been regarded as paramount for community recovery. Yet, there remains ambiguity in how access should be defined, measured, or operationalized. Defining accessibility as the ability to use available goods and services with a reasonable level of effort and cost requires evaluating i...

The SAT problem is a prototypical NP-complete problem of fundamental importance in computational complexity theory with many applications in science and engineering; as such, it has long served as an essential benchmark for classical and quantum algorithms. This study shows numerical evidence for a quadratic speedup of the Grover Quantum Approximat...

While the Ising model is most often used to understand physical phenomena, its natural connection to combinatorial reasoning also makes it one of the best models to probe complex systems in science and engineering. We bring a computational lens to the study of Ising models, where our computer-science perspective is twofold: On the one hand, we show...

The growth of structural reliability theory and applications, along with a recognition of its role in guiding the structural engineering profession in addressing some of the most important issues in design of the built environment, represents one of the key engineering achievements during the past five decades. Structural reliability provides a uni...

This paper presents a building-level post-hazard functionality model for communities exposed to flood hazards including the interdependencies between the population, buildings, and infrastructure. An existing portfolio of building archetypes is used to model the post-hazard physical flood functionality of different building typologies within the co...

Rapid restoration of access to essential goods and services has long been regarded as paramount for community recovery. Yet, there remains ambiguity in how access should be defined, measured, or operationalized. Defining accessibility as the ability to use available goods and services with a reasonable effort and cost requires evaluating it across...

Modeling community resilience to flood hazards has gained substantial interest over the past two decades due to the increased risk from climate change and urbanization. Climate change increases both the frequency and intensity of some natural hazards, which is further exacerbated by urbanization. Post-hazard functionality assessment of buildings an...

Hurricane-induced hazards can result in significant damage to the built environment cascading into major impacts to the households, social institutions, and local economy. Although quantifying physical impacts of hurricane-induced hazards is essential for risk analysis, it is necessary but not sufficient for community resilience planning. While the...

It is widely acknowledged that distributed water systems (DWSs), which integrate distributed water supply and treatment with existing centralized infrastructure, can mitigate challenges to water security from extreme events, climate change, and aged infrastructure. However, it is unclear which are beneficial DWS configurations, i.e., where and at w...

This paper prescribes an auction-based methodology to efficiently allocate resources for the restoration of disrupted interdependent networks in a decentralized fashion. Auctions entail no communication among decentralized decision-makers implying lack of coordination during the decision-making process. We build upon the Judgment Call (JC) method,...

While the Ising model remains essential to understand physical phenomena, its natural connection to combinatorial reasoning makes it also one of the best models to probe complex systems in science and engineering. We bring a computational lens to the study of Ising models, where our computer-science perspective is two-fold: On the one hand, we cons...

Successful restoration planning, crucial for the resilience of networked systems, requires expensive optimization methods. This paper proposes an ensemble of Bayesian models that efficiently predicts the restoration plans for interdependent networks. The models build upon a temporal version of Markov Random Fields, which naturally capture practical...

Modeling community resilience to natural hazards has gained substantial interest over the past decades due to the increased frequency and intensity resulting from climate change and urbanization. However, current research still lacks a comprehensive post-hazard functionality model that encompasses all the community components including households,...

The development of retrofit prioritization methods is warranted to select infrastructure components for improvement to achieve the greatest resilience gains within monetary, time, and operational constraints. Retrofit prioritization for infrastructure can be based on many metrics contributing to resilience (i.e., social impact due to outage, restor...

Critical infrastructure is the backbone of modern societies. To meet increasing demand under resource-constrained and multihazard conditions, policy-makers are tapping into infrastructure resiliency: its capacity to withstand and recover from disruptions. Thus, resiliency-aware uncertainty quantification is key to identify tipping points, yet it re...

Increasing advances in sensing technologies and analytics have led to the proliferation of sensors to monitor structural and infrastructural systems. Accurate sensor data can provide information about structural health, aid in prognosis, and help calculate forces for vibration control. However, sensors are susceptible to faults such as loss of data...

This article formulates risk-based component importance measures (RCIMs) to identify critical components for a bridge subjected to earthquakes. RCIM, unlike traditional reliability-based importance measures, is well suited for complex systems like bridges as it uses a flexible system failure definition using bridge level risk consequences or perfor...

This article quantifies the seismic performance of interdependent electric power and telecommunication systems, while also identifying variables with the highest impact on design. We introduce interdependent power and telecommunication models, which probabilistically simulate the physical dependency of telecommunication systems on power via interde...

From an optimization point of view, resource allocation is one of the cornerstones of research for addressing problems commonly arising in applications such as power outages and traffic jams. In this paper, we take a data-driven approach to estimate an optimal nodal restoration sequence for immediate recovery of infrastructure networks after natura...

The urban resilience research is exceedingly dependent on high-quality data on interdependent utility systems. In this talk, we introduce a recovery-oriented database for the interdependent infrastructure network of Shelby County, TN, which has two parts: 1) the core part describes the topology of utility systems (power, gas, water, and telecommuni...

From an optimization point of view, resource allocation is one of the cornerstones of research for addressing limiting factors commonly arising in applications such as power outages and traffic jams. In this paper, we take a data-driven approach to estimate an optimal nodal restoration sequence for immediate recovery of the infrastructure networks...

Water and wastewater infrastructure worldwide faces unprecedented demand and supply conflicts that require unconventional solutions. In this study, we develop a novel modelling framework to assess the environmental and economic implications of a hybrid water supply system that supplements a centralized surface water supply with distributed direct p...

This study introduces tractable algorithms to model the decentralized decision-making process for postdisaster restoration of interdependent networks. Restoration strategies are devised by a host of agents, who control different layers of interdependent networks. Because of interdependencies, each agent’s decisions are impacted by other agents’ dec...

Restoring operation of critical infrastructure systems after catastrophic events is an important issue, inspiring work in multiple fields, including network science, civil engineering, and operations research. We consider the problem of finding the optimal order of repairing elements in power grids and similar infrastructure. Most existing methods...

Constrained counting is a fundamental problem in artificial intelligence. A promising new algebraic approach to constrained counting makes use of tensor networks, following a reduction from constrained counting to the problem of tensor-network contraction. Contracting a tensor network efficiently requires determining an efficient order to contract...

Ground state counting plays an important role in several applications in science and engineering, from estimating residual entropy in physical systems, to bounding engineering reliability and solving combinatorial counting problems. While quantum algorithms such as adiabatic quantum optimization (AQO) and quantum approximate optimization (QAOA) can...

This study introduces a statistical model that guides decentralized infrastructure restoration processes aligned with field practices. In particular, we make more analytically tractable the previously proposed Judgment Call method to simulate real-world decisions under time and resource constraints. The Judgment Call method explicitly models the la...

Reliability assessment of engineered systems such as telecommunication networks, power grids, and railroads is an important step towars supporting resilient communities. However, calculating the reliability of a network is computationally intensive. Thus, simulation methods are often preferred over exact methods in practice. Unfortunately, highly r...

Quickly exploring weakly coupled oscillators Synchronizing oscillators have been useful models for exploring coupling in dynamic systems. However, many macroscopic platforms such as pendula evolve on slow time scales, which can limit the observation of states that emerge after many cycles. Matheny et al. fabricated a ring of eight nanoelectromechan...

Restoring operation of critical infrastructure systems after catastrophic events is an important issue, inspiring work in multiple fields, including network science, civil engineering, and operations research. We consider the problem of finding the optimal order of repairing elements in power grids and similar infrastructure. Most existing methods...

Significant methodological progress has taken place to quantify the reliability of networked systems over the past decades. Both numerical and analytical methods have enjoyed improvements via a host of advanced Monte Carlo simulation strategies, state space partition methods, statistical learning, and Boolean functions among others. The latter appr...

Reliability and risk assessment of lifeline systems call for efficient methods that integrate hazard and interdependencies. Such methods are computationally challenged when the probabilistic response of systems is tied to multiple events, as performance quantification requires a large catalog of ground motions. Available methods to address this iss...

Simulating the grids cascading failure process is an essential means of preventing cascading failures. In traditional cascading failure models, DC power flow models are applied widely, but reactive power characteristic cannot be reflected. This study improves and applies an AC-based Cascading Failure model (called ACCF model), which captures bus lo...

Recovery of interdependent infrastructure networks in the presence of catastrophic failure is crucial to the economy and welfare of society. Recently, centralized methods have been developed to address optimal resource allocation in postdisaster recovery scenarios of interdependent infrastructure systems that minimize total cost. In real‐world syst...

Proper operation of critical infrastructure networks such as power, gas, water, and telecommunications is imperative for modern societies. Unfortunately, these systems are widely exposed to natural hazards, which combined with increased demands and high interdependency, increase their vulnerability at the community level exacerbating human and econ...

Innovation in urban water systems is required to address the increasing demand for clean water due to population growth and aggravated water stress caused by water pollution, aging infrastructure, and climate change. Advances in materials science, modular water treatment technologies, and complex systems analyses, coupled with the drive to minimize...

Modern society is increasingly reliant on the functionality of infrastructure facilities and utility services. Consequently, there has been surge of interest in the problem of quantification of system reliability, which is known to be #P-complete. Reliability also contributes to the resilience of systems, so as to effectively make them bounce back...

Quantifying the criticality of individual components of power systems is essential for overall reliability and management. This paper proposes an AC-based power flow element importance measure, while considering multi-element failures. The measure relies on a proposed AC-based cascading failure model, which captures branch overflow, bus load sheddi...

Water distribution system (WDS) pipe networks can vary widely in topological layout. The variations in branch and loop combinatorics across large pipe network data sets are ideal for exploring graph-based structural patterns and linkages with engineered performance. To facilitate this exploration, a library of 10,001 lattice-like pipe networks is d...

As infrastructure systems evolve, their design, maintenance, and optimal performance require mature tools from system reliability theory, as well as principles to handle emerging system features, such as controllability. This paper conducts a comparative study of the connectivity reliability (CR) and topological controllability (TC) of infrastructu...

Establishing consistent criteria for assessing the performance of structural systems and infrastructure networks is a critical component of communities' efforts to optimize investment decisions for the upkeep and renewal of the built environment. Although member-level performance and reliability assessment procedures are currently well-established,...

This paper compares dependencies and interdependencies between power and telecommunication infrastructures during the 2011 MW 9.0 Tohoku earthquake in Japan with those in the 2010 MW 8.8 Maule offshore earthquake in Chile. This comparison is important to assess the extent to which particular failure modes and restoration processes are prevalent in...

Understanding the controllability of complex networks continues to gain traction across disciplinary fields, including the exploration of infrastructure systems in this study, which focuses on power grids as a class of networks. Through topological principles, this paper investigates the controllability features of an ensemble of 58 U.S. city-level...

This study introduces the Interdependent Network Design Problem (INDP), concerned with defining the minimum-cost reconstruction strategy of a partially destroyed system of infrastructure networks, subject to budget, resources, and operational constraints, while considering interdependencies between them. To solve the INDP, the authors develop an ef...

Ensuring electric power system resilience against natural and anthropogenic hazards is vital for public health, economy, security, and well-being across modern societies. This paper presents a resilience assessment framework that focuses on computationally efficient algorithms for quantifying the response of electric power systems to hurricane even...

This study proposes a novel Normalized Wide network Ranking algorithm (NWRank) that has the advantage of ranking nodes and links of a network simultaneously. This algorithm combines the mutual reinforcement feature of Hypertext Induced Topic Selection (HITS) and the weight normalization feature of PageRank. Relative weights are assigned to links ba...

This paper presents an integrated resilience-based modeling approach for assessing the resilience of coupled networked lifeline systems considering as input-spaces their capacity, fragility, and response actions, including those informed by engineering and community-based policy. We develop a time-dependent resilience concept for systems under seis...

Uncertainty quantification is an integral part of many fields of science and engineering, but its application to seismic reliability and risk assessment in highway transportation networks is still in its infancy. This study identifies major known sources of uncertainties associated with seismic loss assessments in aging transportation networks, inc...

Large-magnitude earthquakes can damage high-voltage transformers, trigger power flow disruption and impact the economy and society. However, methods that enable large transformer vulnerability assessment in a practical and rigorous way are scarce. This paper proposes a probabilistic framework using Bayesian belief networks (BBNs) to predict the dam...

Current bridge design specifications deal with various extreme hazards independently, which may lead to less economic design and construction practices, and may also underestimate failure probabilities. Therefore, a multi-hazard bridge design framework is required to guide the future design of new bridges or the retrofit of existing ones. This pape...

Flood-induced scour is a common phenomenon that causes the loss of lateral support at bridge foundations. However, the impact of scour is usually ignored when assessing the anticipated response of bridges under earthquake loads. This study quantifies the effect of scour on the dynamic behavior and seismic performance of reinforced concrete (RC) bri...

Infrastructure networks are complex, distributed, socio-technical systems whose study requires the integration of several domains of knowledge and techniques to coherently capture key features of their constituent components (e.g., fragility), the dynamics of such networked components, and their behavior as affected by human use and operation. This...

Although recent changes in the seismic design of bridges include displacement-based design approaches to promote adequate performance under seismic loads, the current design philosophy still adopts a uniform hazard perspective without explicit consideration of uniformity in the risk of damage or annual collapse probability. This paper puts forward...

In this paper we inquire about the consequences of preparing for hurricanes for individuals and the larger community. Are there collective action benefits from individual-level preparation activities; do the actions individuals take to prepare themselves for a pending hurricane have social benefits for the entire community? We identify shadow evacu...

Isolation has been identified as a popular retrofit measure for seismically deficient bridges. However, most isolation designs neglect soil-structure interaction (SSI) effects. The feasibility of isolation for bridges with SSI, especially in liquefaction-prone regions, requires further study. This paper investigates effects of SSI and liquefaction...

The stability and reliability of electric power grids are essential to the continuous operation of modern cities as well as for the mitigation, preparedness, response and recovery in disaster management. Power systems must be assessed in order to identify and address component and system-level weaknesses while supporting their rapid restoration. Th...

This paper explores the practical role of the interaction between critical lifeline systems that can impact their mutual performance as well as their ability to serve the community, especially in the aftermath of seismic events. In particular, the emergency and recovery planning of individual lifeline systems is discussed in relation to power and t...

The objective of this paper is to present a methodology that integrates Mixed Integer Programming (MIP) optimization methods into the calculation of metrics related to the reliability and resilience of a system of interdependent infrastructure networks, improving over mitigation strategies and vulnerability assessment that do not consider interdepe...

Electric power systems are critical to economic prosperity, national security, public health and safety. However, in hurricane-prone areas, a severe storm may simultaneously cause extensive component failures in a power system and lead to cascading failures within it and across other power-dependent utility systems. Hence, the hurricane resilience...

Modern wind turbines are supported by slender, flexible and lightly damped tall towers, which exhibit high susceptibility to wind-induced vibrations. This paper develops a framework that combines efficient dynamic response models and probabilistic assessment tools to show how to structural response and improve structural reliability when equipping...

by Leonardo Augusto Dueñas Osorio.

As infrastructure networks become more complex and intertwined, the relevance of network interdependency research is increasingly evident. Interconnected networks bring about efficiencies during normal operations but also come with risks of cascading failures with disaster events. An adequate understanding of network interdependencies and realistic...

Implementing the triple bottom line of sustainability demands equal recognition and quantification of the economic, environmental, and social dimensions of sustainability; however, the social dimension has been addressed mostly implicitly. In particular, measurable parameters are needed to explicitly address this social dimension of sustainability...

Lifeline systems are complex geographically distributed systems that are essential to the well-being of modern society and its response and recovery after natural disasters. For this reason, models of interdependent systems under a wide range of adverse events are emerging; nevertheless, it is not easy to assess the intensity of coupling across sys...

To date, a number of metrics have been proposed to quantify inherent robustness of network topology against failures. However, each single metric usually only offers a limited view of network vulnerability to different types of random failures and targeted attacks. When applied to certain network configurations, different metrics rank network topol...

Seismic response and vulnerability assessment of key infrastructure elements, such as highway bridges, often requires a large number of nonlinear dynamic analyses of complex finite element models to cover the predictor parameter space. The substantial computation time may be reduced by using statistical learning techniques to develop surrogate mode...

This paper investigates the development of flood hazard and flood risk delineations that account for uncertainty as improvements to standard floodplain maps for coastal watersheds. Current regulatory floodplain maps for the Gulf Coastal United States present 1% flood hazards as polygon features developed using deterministic, steady-state models tha...

Accurate estimation of risk to residential structures from hurricane winds is critical for emergency planning and post-event recovery. Fragility curves are widely used for assessing wind damage risk at the county and census tract levels in models such as HAZUS-MH. Large-scale evaluation of the predictive accuracy of these models has been hampered b...

The state-of-the-practice in seismic network reliability assessment of highway bridges often ignores bridge failure correlations imposed by factors such as the network topology, construction methods, and present-day condition of bridges, among others. Additionally, aging bridge seismic fragilities are typically determined simply using historical es...

The bridge reliability in networks (BRAN) methodology introduced in the companion paper is applied to evaluate the reliability of part of the highway bridge network in South Carolina under a selected seismic scenario. The case study demonstrates Bayesian updating of deterioration parameters across bridges after spatial interpolation of data acquire...

This paper explores the effects of vertical ground motions (VGMs) on the component fragility of a coupled bridged-soil-foundation (CBSF) system with liquefaction potential, and highlights the unique considerations on the demand and capacity model required for fragility analysis under VGMs. Optimal intensity measures (IMs) that account for VGMs are...

Barring a few exceptions, most theoretical and computational models of lifeline system fragility and interdependent response to extreme events still lack calibration and validation relative to real events. This paper expands on this area by evaluating and calibrating a recently proposed Interdependence Fragility Algorithm (IFA) against field data o...

The resilience of transportation systems depends on their reliability against disruptions from natural hazards in addition to their ability to recover to pre-hazard states. However, reliability predictions for large complex bridge networks often involve an exponentially large number of numerical simulations to evaluate individual bridge fragilities...