Dysfunctionality Hazard Curve: Risk-Based Tool to Support the Resilient Design of Systems Subjected to Multihazards

Author(s):  
Somayajulu L. N. Dhulipala
2021 ◽  
Vol 13 (9) ◽  
pp. 4666
Author(s):  
Yoonshin Kwak ◽  
Brian Deal ◽  
Grant Mosey

Given that evolving urban systems require ever more sophisticated and creative solutions to deal with uncertainty, designing for resilience in contemporary landscape architecture represents a cross-disciplinary endeavor. While there is a breadth of research on landscape resilience within the academy, the findings of this research are seldom making their way into physical practice. There are existent gaps between the objective, scientific method of scientists and the more intuitive qualitative language of designers and practitioners. The purpose of this paper is to help bridge these gaps and ultimately support an endemic process for more resilient landscape design creation. This paper proposes a framework that integrates analytic research (i.e., modeling and examination) and design creation (i.e., place-making) using processes that incorporate feedback to help adaptively achieve resilient design solutions. Concepts of Geodesign and Planning Support Systems (PSSs) are adapted as part of the framework to emphasize the importance of modeling, assessment, and quantification as part of processes for generating information useful to designers. This paper tests the suggested framework by conducting a pilot study using a coupled sociohydrological model. The relationships between runoff and associated design factors are examined. Questions on how analytic outcomes can be translated into information for landscape design are addressed along with some ideas on how key variables in the model can be translated into useful design information. The framework and pilot study support the notion that the creation of resilient communities would be greatly enhanced by having a navigable bridge between science and practice.


2015 ◽  
Vol 20 (4) ◽  
pp. 1-26 ◽  
Author(s):  
Andrew B. Kahng ◽  
Seokhyeong Kang ◽  
Jiajia Li ◽  
Jose Pineda De Gyvez
Keyword(s):  

Author(s):  
Fatemeh Jalayer ◽  
Hossein Ebrahimian ◽  
Andrea Miano

AbstractThe Italian code requires spectrum compatibility with mean spectrum for a suite of accelerograms selected for time-history analysis. Although these requirements define minimum acceptability criteria, it is likely that code-based non-linear dynamic analysis is going to be done based on limited number of records. Performance-based safety-checking provides formal basis for addressing the record-to-record variability and the epistemic uncertainties due to limited number of records and in the estimation of the seismic hazard curve. “Cloud Analysis” is a non-linear time-history analysis procedure that employs the structural response to un-scaled ground motion records and can be directly implemented in performance-based safety-checking. This paper interprets the code-based provisions in a performance-based key and applies further restrictions to spectrum-compatible record selection aiming to implement Cloud Analysis. It is shown that, by multiplying a closed-form coefficient, code-based safety ratio could be transformed into simplified performance-based safety ratio. It is shown that, as a proof of concept, if the partial safety factors in the code are set to unity, this coefficient is going to be on average slightly larger than unity. The paper provides the basis for propagating the epistemic uncertainties due to limited sample size and in the seismic hazard curve to the performance-based safety ratio both in a rigorous and simplified manner. If epistemic uncertainties are considered, the average code-based safety checking could end up being unconservative with respect to performance-based procedures when the number of records is small. However, it is shown that performance-based safety checking is possible with no extra structural analyses.


IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Mahmoud N. Ali ◽  
Mahmoud Soliman ◽  
Karar Mahmoud ◽  
Josep M. Guerrero ◽  
Matti Lehtonen ◽  
...  

2021 ◽  
pp. 625-645
Author(s):  
Terri Peters

In architecture, the term resilience tends to be used narrowly describe a building’s structural and environmental performance in quantitative terms—but can a building be called resilient if it fails to make inspiring spaces for people, promote well-being, or improve people’s experience? The chapter begins by exploring how the term is currently evaluated in and around buildings, through discussion of related concepts such as sustainability, passive survivability, and performance gaps. The chapter traces the emergence of a new generation of building evaluation metrics and certification systems that are focused not solely on environmental performance but also consider synergies between people’s experience and our natural resources, such as Active House. The work of GXN and 3XN in Denmark are discussed, in relation to how their research explores resilience and sustainability by focusing on the social aspects of how buildings make people feel. Examples from the multifunctional, process-based strategies used in a series of new climate adaptation renovations in Copenhagen, Denmark, are discussed as exemplary resilient design projects that address neighborhood flooding by simultaneously improving the qualities of public spaces and better connecting people to nature. The chapter concludes with a discussion of how locally specific and socially focused designs can support more resilient environments for people.


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