Statistical comparison of the performance of data-based models for sewer condition modeling-Reference-Cited by-同舟云学术

Statistical comparison of the performance of data-based models for sewer condition modeling

Published:2019-08-13 Issue:12 Volume:15 Page:1680-1693
ISSN:1573-2479
Container-title:Structure and Infrastructure Engineering
language:en
Short-container-title:Structure and Infrastructure Engineering

Author:

Sousa Vitor¹^ORCID,Matos José P.²,Matias Natércia¹,Meireles Inês³^ORCID

Affiliation:

1. CERIS, DECivil, IST, University of Lisbon, Lisbon, Portugal;

2. Laboratory of Hydraulic Constructions (LCH), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland;

3. RISCO, Department of Civil Engineering, University of Aveiro, Campus Universitário de Santiago, Aveiro, Portugal

Publisher

Informa UK Limited

Subject

Mechanical Engineering,Ocean Engineering,Geotechnical Engineering and Engineering Geology,Safety, Risk, Reliability and Quality,Building and Construction,Civil and Structural Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/15732479.2019.1648525

Reference64 articles.

1. Ana, E. V. (2009). Sewer asset management – Sewer structural deterioration modeling and multicriteria decision making in Sewer rehabilitation projects prioritization (PhD thesis). Faculty of Engineering, Vrije Universiteit Brussel, Brussels, Belgium.

2. Modeling the structural deterioration of urban drainage pipes: the state-of-the-art in statistical methods

3. Assessment of Infrastructure Inspection Needs Using Logistic Models

4. Estimating Transition Probabilities in Markov Chain-Based Deterioration Models for Management of Wastewater Systems

5. Selective inspection planning with ageing forecast for sewer types

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