@phdthesis{chmielewski_2023, place={Raleigh, NC}, title={Overcoming Modeling Barriers in Long-Term Interdependent Infrastructure Systems Planning}, url={https://www.lib.ncsu.edu/resolver/1840.20/40887.}, school={North Carolina State University}, author={Chmielewski, H.T..}, year={2023}, month={May} }
 @inproceedings{hsia_long_knapp_liu_melitas_2020, title={A Case Study for Investigating Elevated Hydrogen Sulfide within a Wastewater Treatment Plant}, booktitle={Water Environment Federation Odors and Air Pollutants Conference 2020}, author={Hsia, P.S. and Long, H.C. and Knapp, T. and Liu, M. and Melitas, N.}, year={2020} }
 @article{guidotti_chmielewski_unnikrishnan_gardoni_mcallister_van de lindt_2016, title={Modeling the resilience of critical infrastructure: the role of network dependencies}, volume={1}, ISSN={2378-9689 2378-9697}, url={http://dx.doi.org/10.1080/23789689.2016.1254999}, DOI={10.1080/23789689.2016.1254999}, abstractNote={Abstract Water and wastewater network, electric power network, transportation network, communication network, and information technology network are among the critical infrastructure in our communities; their disruption during and after hazard events greatly affects communities’ well-being, economic security, social welfare, and public health. In addition, a disruption in one network may cause disruption to other networks and lead to their reduced functionality. This paper presents a unified theoretical methodology for the modeling of dependent/interdependent infrastructure networks and incorporates it in a six-step probabilistic procedure to assess their resilience. Both the methodology and the procedure are general, can be applied to any infrastructure network and hazard, and can model different types of dependencies between networks. As an illustration, the paper models the direct effects of seismic events on the functionality of a potable water distribution network and the cascading effects of the damage of the electric power network (EPN) on the potable water distribution network (WN). The results quantify the loss of functionality and delay in the recovery process due to dependency of the WN on the EPN. The results show the importance of capturing the dependency between networks in modeling the resilience of critical infrastructure.}, number={3-4}, journal={Sustainable and Resilient Infrastructure}, publisher={Informa UK Limited}, author={Guidotti, Roberto and Chmielewski, Hana and Unnikrishnan, Vipin and Gardoni, Paolo and McAllister, Therese and van de Lindt, John}, year={2016}, month={Nov}, pages={153–168} }
 @inproceedings{chmielewski_guidotti_mcallister_gardoni_2016, title={Response of Water Systems under Extreme Events: A Comprehensive Approach to Modeling Water System Resilience}, url={http://dx.doi.org/10.1061/9780784479865.050}, DOI={10.1061/9780784479865.050}, abstractNote={Water systems (e.g., potable water, wastewater, and storm water systems) are regarded as “lifeline” infrastructure. Their disruption can cause cascading effects, influencing the economy of an entire region. Past hazard events show that water availability is crucial for minimizing the societal impact of such events and for recovery processes. To date, stochastic simulations of hazards events, and their direct and indirect physical damage to water system components, are typically not coupled with hydraulic simulations of functionality loss and restoration, including water quality, pressure, and flow throughout the network. This work presents a comprehensive approach to the modeling of water system resilience subject to a seismic event; however, the procedure is general and can be applied to other network systems and hazards. The model performs: (1) a baseline deterministic hydraulic analysis on an undamaged water system, focusing on meaningful functionality metrics, (i.e., water pressure, quantity, and quality); (2) a probabilistic analysis of the damaged system considering the damage state and the performance level of each component; (3) a probabilistic analysis of the water system functionality, considering the physical damage analysis and the recovery time of each component.}, booktitle={World Environmental and Water Resources Congress 2016}, publisher={American Society of Civil Engineers}, author={Chmielewski, Hana and Guidotti, Roberto and McAllister, Therese and Gardoni, Paolo}, year={2016}, month={May} }
 @phdthesis{chmielewski_2013, place={Raleigh, NC}, title={Satisfying Multiple Priorities with a Diversity Preserving Evolutionary Algorithm}, url={http://www.lib.ncsu.edu/resolver/1840.16/8866.}, school={North Carolina State University}, author={Chmielewski, H.T.}, year={2013} }
 @book{bubacz_chmielewski_pape_depersio_hively_abercrombie_boone_2011, title={Phase Space Dissimilarity Measures for Structural Health Monitoring}, url={http://dx.doi.org/10.2172/1029952}, DOI={10.2172/1029952}, abstractNote={A novel method for structural health monitoring (SHM), known as the Phase Space Dissimilarity Measures (PSDM) approach, is proposed and developed. The patented PSDM approach has already been developed and demonstrated for a variety of equipment and biomedical applications. Here, we investigate SHM of bridges via analysis of time serial accelerometer measurements. This work has four aspects. The first is algorithm scalability, which was found to scale linearly from one processing core to four cores. Second, the same data are analyzed to determine how the use of the PSDM approach affects sensor placement. We found that a relatively low-density placement sufficiently captures the dynamics of the structure. Third, the same data are analyzed by unique combinations of accelerometer axes (vertical, longitudinal, and lateral with respect to the bridge) to determine how the choice of axes affects the analysis. The vertical axis is found to provide satisfactory SHM data. Fourth, statistical methods were investigated to validate the PSDM approach for this application, yielding statistically significant results.}, institution={Office of Scientific and Technical Information (OSTI)}, author={Bubacz, Jacob A and Chmielewski, Hana T and Pape, Alexander E and Depersio, Andrew J and Hively, Lee M and Abercrombie, Robert K and Boone, Shane}, year={2011}, month={Nov} }