298 research outputs found
Proceedings Of The 18th Annual Meeting Of The Asia Oceania Geosciences Society (Aogs 2021)
The 18th Annual Meeting of the Asia Oceania Geosciences Society (AOGS 2021) was held from 1st to 6th August 2021. This proceedings volume includes selected extended abstracts from a challenging array of presentations at this conference. The AOGS Annual Meeting is a leading venue for professional interaction among researchers and practitioners, covering diverse disciplines of geosciences
Applied Metaheuristic Computing
For decades, Applied Metaheuristic Computing (AMC) has been a prevailing optimization technique for tackling perplexing engineering and business problems, such as scheduling, routing, ordering, bin packing, assignment, facility layout planning, among others. This is partly because the classic exact methods are constrained with prior assumptions, and partly due to the heuristics being problem-dependent and lacking generalization. AMC, on the contrary, guides the course of low-level heuristics to search beyond the local optimality, which impairs the capability of traditional computation methods. This topic series has collected quality papers proposing cutting-edge methodology and innovative applications which drive the advances of AMC
Cone Penetration Testing 2022
This volume contains the proceedings of the 5th International Symposium on Cone Penetration Testing (CPT’22), held in Bologna, Italy, 8-10 June 2022. More than 500 authors - academics, researchers, practitioners and manufacturers – contributed to the peer-reviewed papers included in this book, which includes three keynote lectures, four invited lectures and 169 technical papers. The contributions provide a full picture of the current knowledge and major trends in CPT research and development, with respect to innovations in instrumentation, latest advances in data interpretation, and emerging fields of CPT application. The paper topics encompass three well-established topic categories typically addressed in CPT events: - Equipment and Procedures - Data Interpretation - Applications. Emphasis is placed on the use of statistical approaches and innovative numerical strategies for CPT data interpretation, liquefaction studies, application of CPT to offshore engineering, comparative studies between CPT and other in-situ tests. Cone Penetration Testing 2022 contains a wealth of information that could be useful for researchers, practitioners and all those working in the broad and dynamic field of cone penetration testing
Data Mining
The availability of big data due to computerization and automation has generated an urgent need for new techniques to analyze and convert big data into useful information and knowledge. Data mining is a promising and leading-edge technology for mining large volumes of data, looking for hidden information, and aiding knowledge discovery. It can be used for characterization, classification, discrimination, anomaly detection, association, clustering, trend or evolution prediction, and much more in fields such as science, medicine, economics, engineering, computers, and even business analytics. This book presents basic concepts, ideas, and research in data mining
Optimal seismic retrofitting of existing RC frames through soft-computing approaches
2016 - 2017Ph.D. Thesis proposes a Soft-Computing approach capable of supporting the engineer judgement in the selection and
design of the cheapest solution for seismic retrofitting of existing RC framed structure. Chapter 1 points out the need for
strengthening the existing buildings as one of the main way of decreasing economic and life losses as direct
consequences of earthquake disasters. Moreover, it proposes a wide, but not-exhaustive, list of the most frequently
observed deficiencies contributing to the vulnerability of concrete buildings. Chapter 2 collects the state of practice on
seismic analysis methods for the assessment the safety of the existing buildings within the framework of a performancebased
design. The most common approaches for modeling the material plasticity in the frame non-linear analysis are
also reviewed. Chapter 3 presents a wide state of practice on the retrofitting strategies, intended as preventive measures
aimed at mitigating the effect of a future earthquake by a) decreasing the seismic hazard demands; b) improving the
dynamic characteristics supplied to the existing building. The chapter presents also a list of retrofitting systems,
intended as technical interventions commonly classified into local intervention (also known “member-level”
techniques) and global intervention (also called “structure-level” techniques) that might be used in synergistic
combination to achieve the adopted strategy. In particular, the available approaches and the common criteria,
respectively for selecting an optimum retrofit strategy and an optimal system are discussed. Chapter 4 highlights the
usefulness of the Soft-Computing methods as efficient tools for providing “objective” answer in reasonable time for
complex situation governed by approximation and imprecision. In particular, Chapter 4 collects the applications found
in the scientific literature for Fuzzy Logic, Artificial Neural Network and Evolutionary Computing in the fields of
structural and earthquake engineering with a taxonomic classification of the problems in modeling, simulation and
optimization. Chapter 5 “translates” the search for the cheapest retrofitting system into a constrained optimization
problem. To this end, the chapter includes a formulation of a novel procedure that assembles a numerical model for
seismic assessment of framed structures within a Soft-Computing-driven optimization algorithm capable to minimize
the objective function defined as the total initial cost of intervention. The main components required to assemble the
procedure are described in the chapter: the optimization algorithm (Genetic Algorithm); the simulation framework
(OpenSees); and the software environment (Matlab). Chapter 6 describes step-by-step the flow-chart of the proposed
procedure and it focuses on the main implementation aspects and working details, ranging from a clever initialization of
the population of candidate solutions up to a proposal of tuning procedure for the genetic parameters. Chapter 7
discusses numerical examples, where the Soft-Computing procedure is applied to the model of multi-storey RC frames
obtained through simulated design. A total of fifteen “scenarios” are studied in order to assess its “robustness” to
changes in input data. Finally, Chapter 8, on the base of the outcomes observed, summarizes the capabilities of the
proposed procedure, yet highlighting its “limitations” at the current state of development. Some possible modifications
are discussed to enhance its efficiency and completeness. [edited by author]XVI n.s
ISGSR 2011 - Proceedings of the 3rd International Symposium on Geotechnical Safety and Risk
Scientific standards applicable to publication of BAWProceedings: http://izw.baw.de/publikationen/vzb_dokumente_oeffentlich/0/2020_07_BAW_Scientific_standards_conference_proceedings.pd
Applied Methuerstic computing
For decades, Applied Metaheuristic Computing (AMC) has been a prevailing optimization technique for tackling perplexing engineering and business problems, such as scheduling, routing, ordering, bin packing, assignment, facility layout planning, among others. This is partly because the classic exact methods are constrained with prior assumptions, and partly due to the heuristics being problem-dependent and lacking generalization. AMC, on the contrary, guides the course of low-level heuristics to search beyond the local optimality, which impairs the capability of traditional computation methods. This topic series has collected quality papers proposing cutting-edge methodology and innovative applications which drive the advances of AMC
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