Detection of Pipes Causing Pressure Loss in Water Distribution Networks via Artificial Immune Systems

Mirac Eryiğit

Article Details

Detection of Pipes Causing Pressure Loss in Water Distribution Networks via Artificial Immune Systems

Authors:

Mirac Eryiğit

Publisher:

Duzce University

Main Topics:

Mühendislik

Journal:

Düzce Üniversitesi Bilim ve Teknoloji Dergisi Vol.11 Issue 4, pp.2236-2245

Document Type:

Article

Publication Date:

10/2023

Document Language:

English

Document ID (Org No.):

2001301607

pISSN:

2148-2446

Keywords:

Abstract:

 This paper proposes the optimization model using Artificial Immune Systems, depending on a model calibration, in order to determine worn out pipes with low Hazen-Williams roughness coefficient causing pressure loss in the water distribution networks. The modified Clonal Selection Algorithm, a type of Artificial Immune Systems, was used as a heuristic optimization method. In order to evaluate its performance, the model was implemented to the four-loop hypothetical water distribution network under steady-state conditions. According to the results, the model appeared to be promising in the detection of old pipes causing high pressure losses in the water distribution networks.

 This paper proposes the optimization model using Artificial Immune Systems, depending on a model calibration, in order to determine worn out pipes with low Hazen-Williams roughness coefficient causing pressure loss in the water distribution networks. The modified Clonal Selection Algorithm, a type of Artificial Immune Systems, was used as a heuristic optimization method. In order to evaluate its performance, the model was implemented to the four-loop hypothetical water distribution network under steady-state conditions. According to the results, the model appeared to be promising in the detection of old pipes causing high pressure losses in the water distribution networks.

 This paper proposes the optimization model using Artificial Immune Systems, depending on a model calibration, in order to determine worn out pipes with low Hazen-Williams roughness coefficient causing pressure loss in the water distribution networks. The modified Clonal Selection Algorithm, a type of Artificial Immune Systems, was used as a heuristic optimization method. In order to evaluate its performance, the model was implemented to the four-loop hypothetical water distribution network under steady-state conditions. According to the results, the model appeared to be promising in the detection of old pipes causing high pressure losses in the water distribution networks.

 Bu çalışmada, su dağıtım şebekelerinde basınç kaybına neden olan düşük Hazen-Williams pürüzlülük katsayısına sahip eskimiş boruların belirlenmesi için model kalibrasyonuna bağlı Yapay Bağışıklık Sistemlerini kullanan bir optimizasyon modeli önerilmektedir. Sezgisel optimizasyon yöntemi olarak Yapay Bağışıklık Sistemlerinden biri olan modifiye Klonal Seçim Algoritması kullanılmıştır. Modelin performansını test etmek için, sürekli-kararlı koşullar altında dört gözlü farazi sanal bir su dağıtım şebekesinde model uygulanmıştır. Elde edilen sonuçlara göre, su dağıtım şebekelerindeki yüksek basınç kayıplarına neden olan eskimiş boruların tespit edilmesinde modelin gelecek vaat ettiği görülmüştür.

Article Details

Detection of Pipes Causing Pressure Loss in Water Distribution Networks via Artificial Immune Systems

Authors:

Mirac Eryiğit

Publisher:

Duzce University

Main Topics:

Mühendislik

Journal:

Düzce Üniversitesi Bilim ve Teknoloji Dergisi Vol.11 Issue 4, pp.2236-2245

Document Type:

Article

Publication Date:

10/2023

Document Language:

English

Document ID (Org No.):

2001301607

pISSN:

2148-2446

Pressure loss

Water Distribution Networks

Optimization

Model Calibration

Artificial Immune SystemsBasınç kaybı

Su Dağıtım Şebekeleri

Optimizasyon

Model Kalibrasyonu

Yapay Bağışıklık Sistemleri

Issues

Article Details

Authors: Mirac Eryiğit

Publisher: Duzce University

Main Topics: Mühendislik

Journal: Düzce Üniversitesi Bilim ve Teknoloji Dergisi Vol.11 Issue 4, pp.2236-2245

Document Type: Article

Publication Date: 10/2023

Document Language: English

Document ID (Org No.): 2001301607

pISSN: 2148-2446

Issues

Authors:

Mirac Eryiğit

Publisher:

Duzce University

Main Topics:

Mühendislik

Journal:

Düzce Üniversitesi Bilim ve Teknoloji Dergisi Vol.11 Issue 4, pp.2236-2245

Document Type:

Article

Publication Date:

10/2023

Document Language:

English

Document ID (Org No.):

2001301607

pISSN:

2148-2446