Atlanta's SSES and Integrated Sewer Rehabilitation Selection Process

Hutchinson, R. E.; El-Sayegh, H. K.; Chambers, L. H.

doi:10.1061/40934(252)2

Cited by 2 publications

(4 citation statements)

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“…MINLP is utilized [10] to select the best rehabilitation methods for the water distribution network. Mechanistic Analysis and Field Diagnosis, applied by [20], were utilized to select the best rehabilitation methods for road pavement, while a holistic approach, as suggested by [21], was employed for sewer rehabilitation segments based on the cost-effectiveness of the method. The authors in [22] stated that the optimal combination of scheduled and unscheduled maintenance to ensure occupant contentment is an appropriate solution.…”

Section: Rehabilitation Selection Methodsmentioning

confidence: 99%

Criticality-Based Management of Facility Assets

Salman

2024

Buildings

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Effective facility asset management requires specific skills and tools to optimize the use of limited resources, making a decision support system essential. This research introduces a comprehensive decision support system, which is a framework organized into three models: the criticality model, the rehabilitation model, and the optimum criticality model to manage the rehabilitation of facility assets. The criticality model utilizes the Analytical Hierarchy Process (AHP) to assess the group of assets. Emphasizing criticality as a central management factor, this model lays the foundation for subsequent decision-making. The rehabilitation model employs an Artificial Neural Network (ANN), integrating Customer Level of Service (CLoS), Technical Level of Service (TLoS), and asset criticality to determine appropriate rehabilitation actions. NeuralTools 7.5 is leveraged for precise predictions of rehabilitation strategies tailored to specific assets. The third model, optimum criticality, focuses on prioritizing rehabilitation activities within the constraints of limited budgets. Lingo 20.0 is utilized to optimize rehabilitation activities, considering budget limitations and other constraints, offering a strategic approach to maximize the impact of available resources. This integrated framework provides decision-makers with a systematic and data-driven approach to facility management, enhancing the efficiency and effectiveness of rehabilitation actions. An academic building was chosen as a hypothetical example to implement the three models and suggest the essential considerations for managing both the academic building itself and other infrastructure assets. The results obtained demonstrate that the principles and methodologies encapsulated in this project can be extrapolated and scaled up for application to large-scale infrastructure assets, ensuring the sustenance of the requisite level of service and the management of acceptable risk on a broader scale.

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Section: Rehabilitation Selection Methodsmentioning

confidence: 99%

Criticality-Based Management of Facility Assets

Salman

2024

Buildings

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“…Atlanta generates 55% of the sewage flow and wholesale agencies generate approximately 45%. The total population of 1.6 million citizen benefits from this system (Hutchinson, 2007). In 1999, Atlanta entered into the First Amended Consent Decree (FACD) with the EPA.…”

Section: Atlanta Georgiamentioning

confidence: 99%

“…Atlanta's sewers have been categorized into 6 groups and the criteria for the initial prioritization of the Sewer Groups has taken into account ten items that are related to (a) frequency of overflows, (b) severity of rainfall dependent Infiltration/Inflow (RDI/I), (c) risk to surface waters (creeks), (d) impact failures, (e) status of ongoing rehabilitation or renewal, (f) available capacity in sewers, (g) judgment of sewer operation and maintenance division, (h) relative impact of RDI/I from jurisdictions outside the city's control, (i) proposed development intensity, and (j) location of sewer within the combined system. The city will study six sewer groups over the FACD's 14-year compliance period and the findings from each SSES study will results in an appropriate prioritized list of identified and scheduled remedial actions for sewers, manholes, and laterals (Hutchinson, 2007).…”

Section:  Condition Assessment and Rehabilitation Practicesmentioning

confidence: 99%

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Development of wastewater pipe performance index and performance prediction model

Angkasuwansiri¹,

Sinha

2014

IJSMSS

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Water plays a critical role in every aspect of civilization: agriculture, industry, economy, environment, recreation, transportation, culture, and health. Much of America's drinking water and wastewater infrastructure; however, is old and deteriorating. A crisis looms as demands on these systems increase. The costs associated with renewal of these aging systems are staggering.There is a critical disconnect between the methodological remedies for infrastructure renewal problems and the current sequential or isolated manner of renewal analysis and execution. This points to the need for a holistic systems perspective to address the renewal problem. Therefore, new tools are needed to provide support for wastewater infrastructure decisions. Such decisions are necessary to sustain economic growth, environmental quality, and improved societal benefits.Accurate prediction of wastewater pipe structural and functional deterioration plays an essential role in asset management and capital improvement planning. The key to implementing an asset management strategy is a comprehensive understanding of asset condition, performance, and risk profile.The primary objective of this research is therefore to develop protocols and methods for evaluating the wastewater pipe performance. This research presents the life cycle of wastewater pipeline identifying the causes of pipe failure in different phases including design, manufacture, construction, operation and maintenance, and repair/rehabilitation/replacement. Various modes and mechanisms of pipe failure in wastewater pipes were identified for different pipe material which completed with results from extensive literature reviews, and interviews with utilities and pipe associations. After reviewing all relevant reports and utility databases, a set of standard pipe parameter list (data structure) and a pipe data collection methodology were developed. These parameters includes physical/structural, operational/functional, environmental and other parameters, for not only the pipe, but also the entire pipe system. This research presents a development of a performance index for wastewater pipes. The performance index evaluates each iii parameter and combines them mathematically through a weighted summation and a fuzzy inference system that reflects the importance of the various factors. The performance index were evaluated based on artificial data and field data to ensure that the index could be implemented to real scenarios. Developing a performance index led to the development of a probabilistic performance prediction model for wastewater pipes. A framework would enable effective and systematic wastewater pipe performance evaluation and prediction in asset management programs.iv Acknowledgement

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Atlanta's SSES and Integrated Sewer Rehabilitation Selection Process

Cited by 2 publications

References 0 publications

Criticality-Based Management of Facility Assets

Criticality-Based Management of Facility Assets

Development of wastewater pipe performance index and performance prediction model

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