Seismic Damage Assessment of Urban Water Supply Pipeline

Water supply pipeline system is a key issue in urban lifeline engineering, and the seismic assessment for the system damage is of significant importance. In this study, method of seismic damage assessment on underground water supply pipeline is introduced. With emphasis on the uncertainties of earthquake level, ground condition, soil-pipe interaction and capacity to resist pipe deformation in longitudinal direction, the check point method is applied to the reliability study of water pipeline, and a case study is presented to show the implementation of the proposed model.

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Ant-colony-based simulation–optimization modeling for the design of a forced water pipeline system considering the effects of dynamic pressures

Journal of Hydroinformatics ◽

10.2166/hydro.2009.147 ◽

2009 ◽

Vol 12 (2) ◽

pp. 212-224 ◽

Cited By ~ 4

Author(s):

H. Abbasi ◽

A. Afshar ◽

M. R. Jalali

Keyword(s):

Water Supply ◽

Ant Colony Optimization ◽

Optimization Algorithm ◽

Transient Flow ◽

Simulation Optimization ◽

Ant Colony ◽

Pipeline System ◽

Ant Colony Optimization Algorithm ◽

Water Pipeline ◽

Water Supply Pipeline

Valve and pump shut-off in water pipeline systems lead to transient flow. This flow is a complex phenomenon and is potentially a very serious problem causing extra dynamic pressure in the system. Within the last few decades, the evolutionary and meta-heuristic algorithms, such as genetic algorithms, simulated annealing. More recently, however, ant-colony optimization algorithms have received considerable attention. In this paper the procedure and application of the ant-colony optimization algorithm to the design of a water supply pipeline system, considering dynamic pressures arising from valve closure, is presented. A simulation–optimization interaction loop (SOIL) is defined that cycles between the steady-state and transient flow modules to describe the hydraulics of the pipeline and ant colony optimization algorithm. A hydraulic simulation module is coupled with the ant colony optimization algorithm to form an efficient and powerful software program which locates the pumping stations at any possible or predefined locations while optimizing their specifications, along with pipe diameters, at each decision point. The model may equally regard or disregard the dynamic pressures. Two examples are provided to illustrate the proposed methodology which is limited to the solution of any gravity and/or forced water supply pipeline which is typical for water supply systems.

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Probabilistic Seismic Damage Assessment for Water Supply Networks following Earthquake

TCLEE 2009 ◽

10.1061/41050(357)119 ◽

2009 ◽

Cited By ~ 4

Author(s):

M. R. Zolfaghari ◽

M. Akbari Niari

Keyword(s):

Water Supply ◽

Damage Assessment ◽

Seismic Damage ◽

Supply Networks ◽

Water Supply Networks ◽

Seismic Damage Assessment

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Integrated Detection of a Complex Underground Water Supply Pipeline System in an Old Urban Community in China

Sustainability ◽

10.3390/su12041670 ◽

2020 ◽

Vol 12 (4) ◽

pp. 1670

Author(s):

Shifan Deng ◽

Siyu Ma ◽

Xiaowen Zhang ◽

Shiqiang Zhang

Keyword(s):

Water Supply ◽

Detection Method ◽

Urban Community ◽

Underground Water ◽

Shaanxi Province ◽

Water Supply Systems ◽

Pipeline System ◽

Detection Scheme ◽

Integrated Detection ◽

Water Supply Pipeline

An underground water supply pipeline system is an integral part of urban infrastructure. The safety, stability, reliability, and efficiency of this water system are critical for the daily work and livelihood of the people dependent on it. However, with the development of cities in China, the water supply systems in urban communities require constant re-building and improvement, which complicates the system. Considering the defects of obsolete design, lack of information, and irregularity of the constructions over the years, the maintenance of underground pipelines in older communities is onerous and arduous. In this work, the older pipeline system at the Taibai campus of Northwest University, Shaanxi Province, was taken as one typical old urban community and investigated by different measures. Detection was performed from the available concentrated water supply wells to surrounding areas combining electromagnetic induction, geophysical method by ground-penetrating radar (GPR), and acoustic detection methods. Applying the integrated detection method and considering known pipeline network designs, the properties and complex relationships of different pipeline materials (cast iron, polyethylene (PE), and polyvinyl chloride (PVC)) were determined. In addition, a spatial distribution map of the pipes from wells and the main input water supply pipelines was achieved. The results suggest that the integrated detection scheme combining these three methods provides an effective approach to analyze complex water supply pipelines in older communities, in which each single detection method has more uncertainties. The study provides valuable references for similar communities in many developing countries.

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Seismic damage assessment of masonry buildings in Elazığ and Malatya following the 2020 Elazığ-Sivrice earthquake, Turkey

Bulletin of Earthquake Engineering ◽

10.1007/s10518-021-01073-5 ◽

2021 ◽

Author(s):

Murat Günaydin ◽

Barbaros Atmaca ◽

Serhat Demir ◽

Ahmet Can Altunişik ◽

Metin Hüsem ◽

...

Keyword(s):

Damage Assessment ◽

Seismic Damage ◽

Masonry Buildings ◽

Seismic Damage Assessment

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Examining the contribution of near real-time data for rapid seismic loss assessment of structures

Structural Health Monitoring ◽

10.1177/1475921721996218 ◽

2021 ◽

pp. 147592172199621

Author(s):

Enrico Tubaldi ◽

Ekin Ozer ◽

John Douglas ◽

Pierre Gehl

Keyword(s):

Real Time ◽

Damage Assessment ◽

Free Field ◽

Seismic Source ◽

Seismic Damage ◽

Added Value ◽

Sensor Data ◽

Sources Of Information ◽

Bridge Model ◽

Seismic Damage Assessment

This study proposes a probabilistic framework for near real-time seismic damage assessment that exploits heterogeneous sources of information about the seismic input and the structural response to the earthquake. A Bayesian network is built to describe the relationship between the various random variables that play a role in the seismic damage assessment, ranging from those describing the seismic source (magnitude and location) to those describing the structural performance (drifts and accelerations) as well as relevant damage and loss measures. The a priori estimate of the damage, based on information about the seismic source, is updated by performing Bayesian inference using the information from multiple data sources such as free-field seismic stations, global positioning system receivers and structure-mounted accelerometers. A bridge model is considered to illustrate the application of the framework, and the uncertainty reduction stemming from sensor data is demonstrated by comparing prior and posterior statistical distributions. Two measures are used to quantify the added value of information from the observations, based on the concepts of pre-posterior variance and relative entropy reduction. The results shed light on the effectiveness of the various sources of information for the evaluation of the response, damage and losses of the considered bridge and on the benefit of data fusion from all considered sources.

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