In the last decade, thanks to the increases in computing technology, cost optimization and robusdistribution systems, have been improved using population-based strategies for solving optimiHowever, water distribution design is always performed under the assumption that pipe failureFor this reason, the paper presents a strategy for analysing water distribution systems under "abnormal" conditions due to pipe failure. This kind of analysis is useful in a risk-based management scenario, for planning Operational activities on existing networks, or for improving their performance during design or renewal. The strategy for failure analysis is achieved using multi-objective optimization and genetic algorithms.
In the last decade, thanks to the increases in computing technology, cost optimization and robusdistribution systems, have been improved using population-based strategies for solving optimiHowever, water distribution design is always performed under the assumption that pipe failureFor this reason, the paper presents a strategy for analysing water distribution systems under "abnormal" conditions due to pipe failure. This kind of analysis is useful in a risk-based management scenario, for planning Operational activities on existing networks, or for improving their performance during design or renewal. The strategy for failure analysis is achieved using multi-objective optimization and genetic algorithms.
Water distribution system failure analysis / Giustolisi, Orazio; Doglioni, Angelo. - STAMPA. - (2005), pp. 51-56. (Intervento presentato al convegno 8th International Conference on Computing and Control for the Water Industry, CCWI 2005 tenutosi a Exeter, UK nel September 5-7 , 2005).
Water distribution system failure analysis
Giustolisi, Orazio;Doglioni, Angelo
2005-01-01
Abstract
In the last decade, thanks to the increases in computing technology, cost optimization and robusdistribution systems, have been improved using population-based strategies for solving optimiHowever, water distribution design is always performed under the assumption that pipe failureFor this reason, the paper presents a strategy for analysing water distribution systems under "abnormal" conditions due to pipe failure. This kind of analysis is useful in a risk-based management scenario, for planning Operational activities on existing networks, or for improving their performance during design or renewal. The strategy for failure analysis is achieved using multi-objective optimization and genetic algorithms.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
