Journal ArticleDOI
Risk-Based Seismic Evaluation of Reinforced Concrete Buildings
TLDR
In this article, a risk-based evaluation technique is proposed to quantify seismic assessment and develop a ranking scheme for reinforced concrete buildings, where the seismic hazard, building vulnerability and consequence of failure are handled in hierarchical structures.Abstract:
Seismic resiliency of new buildings has improved over the years due to improved seismic codes and design practices. However, vulnerability of seismically deficient older buildings, designed and built on the basis of older codes of practices, poses a significant threat to life safety and survivability of buildings. It is economically not feasible to retrofit the entire inventory of seismically deficient buildings. Therefore, there is need for a comprehensive plan to identify critical buildings and prioritize their retrofit and upgrading requirements. A risk-based evaluation technique is proposed in this paper to quantify seismic assessment and develop a ranking scheme for reinforced concrete buildings. The seismic hazard, building vulnerability and consequence of failure are handled in hierarchical structures. Some of the input risk parameters, expressed as qualitative and quantitative quantifiers, are transformed into commensurable values. A knowledge-based fuzzy rule base modelling is developed and verified through the use of 1994 Northridge Earthquake data on seismic damage of reinforced concrete buildings. DOI: 10.1193/1.2952767read more
Citations
More filters
Journal ArticleDOI
Risk analysis for oil & gas pipelines: A sustainability assessment approach using fuzzy based bow-tie analysis
TL;DR: In this article, a fuzzy logic is employed to derive fuzzy probabilities of basic events in fault tree and to estimate fuzzy probabilities ( likelihood ) of output event consequences, which can help professionals to decide whether and where to take preventive or corrective actions and help informed decision-making in the risk management process.
Journal ArticleDOI
Seismic fragilities for reinforced concrete buildings with consideration of irregularities
TL;DR: In this paper, the authors developed a Probabilistic seismic demand model (PSDM) for non-code conforming RC buildings with consideration of soft storey (SS) and quality of construction (CQ) for three-, five-, and nine-storey RC frames designed prior to 1970s.
Journal ArticleDOI
Earthquake induced damage classification for reinforced concrete buildings
Solomon Tesfamariam,Zheng Liu +1 more
TL;DR: In this article, the authors used reported seismic induced damage data and illustrated eight different statistical damage classification techniques, naive Bayes, k -nearest-neighbor ( k NN), Fisher's linear discriminant analysis (FLDA), partial least squares discriminant analyses (PLSDA), multilayer perceptron neural networks (MLP-NN), classification tree (CT), support vector machine (SVM), and random forest (RF).
Journal ArticleDOI
Seismic Vulnerability Assessment of Reinforced Concrete Buildings Using Hierarchical Fuzzy Rule Base Modeling
TL;DR: In this article, a reliable building vulnerability assessment is required for developing a risk-based assessment and retrofit prioritization, and a simple building-vulnerability assessment is proposed for building retrofitting prioritization.
Journal ArticleDOI
A review on application of soft computing techniques for the rapid visual safety evaluation and damage classification of existing buildings
Ehsan Harirchian,Seyed Ehsan Aghakouchaki Hosseini,Kirti Jadhav,Vandana Kumari,Shahla Rasulzade,Ercan Işik,Muhamad Wasif,Tom Lahmer +7 more
TL;DR: There are structures still in service with a high seismic vulnerability, which proposes an urgent need for a screening system’s damageability grading system, and the necessity of developing a rapid, reliable, and computationally easy method of seismic vulnerability assessment, more commonly known as RVS.
References
More filters
Book
Fuzzy sets
TL;DR: A separation theorem for convex fuzzy sets is proved without requiring that the fuzzy sets be disjoint.
Journal ArticleDOI
Outline of a New Approach to the Analysis of Complex Systems and Decision Processes
TL;DR: By relying on the use of linguistic variables and fuzzy algorithms, the approach provides an approximate and yet effective means of describing the behavior of systems which are too complex or too ill-defined to admit of precise mathematical analysis.
Book
Fuzzy Sets and Fuzzy Logic: Theory and Applications
George J. Klir,Bo Yuan +1 more
TL;DR: Fuzzy Sets and Fuzzy Logic is a true magnum opus; it addresses practically every significant topic in the broad expanse of the union of fuzzy set theory and fuzzy logic.
Journal ArticleDOI
Application of Fuzzy Logic to Approximate Reasoning Using Linguistic Synthesis
TL;DR: In this article, a fuzzy logic is used to synthesize linguistic control protocol of a skilled operator for industrial plants, which has been applied to pilot scale plants as well as in practical situations.
Journal ArticleDOI
Fuzzy logic, neural networks, and soft computing
TL;DR: Today, the authors have microwave ovens and washing machines that can figure out on their own what settings to use to perform their tasks optimally; cameras that come close to professional photographers in picture-taking ability; and many other products that manifest an impressive capability to reason, make intelligent decisions, and learn from experience.