A mathematical programming model for solving cost-safety optimization (CSO) problems in the maintenance of structures

Piryonesi, S. Madeh; Tavakolan, Mehdi

doi:10.1007/s12205-017-0531-z

Cited by 17 publications

(8 citation statements)

References 23 publications

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“…The studies presented in [34,35] propose optimization algorithms to get an optimal solution which also ensures the quality and efficiency of the solution with some proving statements.…”

Section: Heuristic and Metaheuristic Search Methodsmentioning

confidence: 99%

Dimensionality Reduction for Internet of Things Using the Cuckoo Search Algorithm: Reduced Implications of Mesh Sensor Technologies

Yaseen

Nazir

Sabah

et al. 2020

Wireless Communications and Mobile Computing

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The internet of things is used as a demonstrative keyword for evolution of the internet and physical realms, by means of pervasive distributed commodities with embedded identification, sensing, and actuation abilities. Imminent intellectual technologies are subsidizing internet of things for information transmission within physical and autonomous digital entities to provide amended services, leading towards a new communication era. Substantial amounts of heterogeneous hardware devices, e.g., radio frequency identification (RFID) tags, sensors, and various network protocols are exploited to support object identification and network communication. Data generated by these digital objects is termed as “Big Data” and incorporates high dimensional space with noisy, irrelevant, and redundant features. Direct execution of mining techniques onto such kind of high dimensionality attribute space can increase cost and complexity. Data analytic mechanisms are embedded into internet of things to permit intelligent decision-making capabilities. These notions have raised new challenges regarding internet of things from a data and algorithm perspective. The proposed study identifies the problem in the internet of things network and proposes a novel cuckoo search-based outdoor data management. The technique of the feature extraction is used for the extraction of expedient information from raw and high-dimensional data. After the implementation for the cuckoo search-based feature extraction, few test benchmarks are introduced to evaluate the performance of mutated cuckoo search algorithms. The consequential low-dimensional data optimizes classification accuracy along with reduced complexity and cost.

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“…The studies presented in [34,35] propose optimization algorithms to get an optimal solution which also ensures the quality and efficiency of the solution with some proving statements.…”

Section: Heuristic and Metaheuristic Search Methodsmentioning

confidence: 99%

Dimensionality Reduction for Internet of Things Using the Cuckoo Search Algorithm: Reduced Implications of Mesh Sensor Technologies

Yaseen

Nazir

Sabah

et al. 2020

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

show abstract

“…Nonlinear analysis requires proper analytical models for structural members, including reinforced concrete walls. Various methods have been proposed by researchers to simulate the nonlinear behavior of concrete structural walls [6], [8], [18]. These methods are mainly divided into three parts, including small scale methods, medium-scale methods, and largescale methods.…”

Section: -1 Modeling Of Reinforced Concrete In Structural Wallsmentioning

confidence: 99%

“…There are various parameters that can affect the structural behavior of systems. For example, the geometrical variables and materials used in members play a significant role in structures, [3]- [6]. On the other hand, many researchers showed that ductility of the lateral load-carrying structural systems has a significant influence on the performance of the building in earthquakes.…”

Section: Introductionmentioning

confidence: 99%

The necessity of transverse steel reinforcement for confinement in structural reinforced concrete walls using nonlinear static and dynamic analysis method

Eisa

2020

FACTA U SERIES ARCHI

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Reinforced concrete walls are one of the most efficient and earthquake-resistant systems. In order to provide adequate performance against seismic forces, their ductility should be provided by considering some design principles. Since confining the concrete increases the ductility of the reinforced concrete members, design instructions try to increase the ductility of the wall by utilizing transverse rebars in a certain length of wall edges. In this study, the need for the transverse steel bars to apply confinement in concrete is compared with the equations suggested by previous studies for the displacement-based design of structural bearing walls. For this purpose, nonlinear static analysis and time history analysis was utilized. The results of the study indicate that the lateral deformation of the structural bearing walls is less than the final limit specified by the design codes, even without considering the transverse steel bars for concrete confinement.

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“…According to Fig. 1, which describes the methodology proposed in this study, we use ground GPS stations observations (epochs) as the input data for the displacement computations (Delavar and Najibi, 2009;Piryonesi and Tavakolan, 2017). The time series displacements of the selected stations, AC31, AB09 and AB11, with respect to the North American reference frame (defined as Stable North American Reference Frame (SNARF)) are then presented in Fig.3.…”

Section: Displacement Computationsmentioning

confidence: 99%

Non-Parametric Wavelet Functional Analysis for Horizontal and Vertical displacements Derived from GPS Stations in Western Alaska during the Year 2012

Zahmatkesh¹,

Abedeni²

2017

ESR

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In order to analyze the dynamic processes of the Earth interior and the effect of the propagation of the seismic waves to the surface, a comprehensive study of the Earth crust kinematics is necessary. Although the Global Positing System (GPS) is a powerful method to measure ground displacements and velocities both horizontally and vertically as well as to infer the tectonic stress regime generated by the subsurface processes (from local fault systems to huge tectonic plate movements and active volcanoes), the complexity of the deformation pattern generated during such movements is not always easy to be interpreted. Therefore, it is necessary to work on new methodologies and modifying the previous approaches in order to improve the current methods and better understand the crustal movements. In this paper, we focus on western Alaska area, where many complex faults and active volcanoes exist. In particular, we analyze the data acquired each 30 seconds by three GPS stations located in western Alaska (AC31, AB09 and AB11) from January 1, 2012 to December 31, 2012 in order to compute their displacements in horizontal and vertical components by vectorial summation of the average daily and annual velocities components. Furthermore, we design non-parametric DMeyer and Haar wavelets for horizontal and vertical velocities directions in order to identify significant and homogenous displacements during the year 2012. Finally, the non-parametric decomposition of total horizontal and vertical normalized velocities based on level 1 and level 2 coefficients have been applied to compute normal and cumulative probability histograms related to the accuracy and statistical evolution of each applied wavelet. The results present a very good agreement between the designed non-parametric wavelets and their decomposition functions for each of the three above mentioned GPS stations displacements and velocities during the year 2012.

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A mathematical programming model for solving cost-safety optimization (CSO) problems in the maintenance of structures

Cited by 17 publications

References 23 publications

Dimensionality Reduction for Internet of Things Using the Cuckoo Search Algorithm: Reduced Implications of Mesh Sensor Technologies

Dimensionality Reduction for Internet of Things Using the Cuckoo Search Algorithm: Reduced Implications of Mesh Sensor Technologies

The necessity of transverse steel reinforcement for confinement in structural reinforced concrete walls using nonlinear static and dynamic analysis method

Non-Parametric Wavelet Functional Analysis for Horizontal and Vertical displacements Derived from GPS Stations in Western Alaska during the Year 2012

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