journal article·2023-02-26Open access

GIS-Based Optimal Route Selection of Submarine Cables Considering Potential Seismic Fault Zones

Nikolaos Makrakis, Prodromos N. Psarropoulos, Yiannis Tsompanakis

Applied Sciences· Volume 13· Issue 5

Abstract

Submarine lifelines (pipelines and cables) often cross areas characterized by earthquake-related geohazards (tectonic faulting, landslides and seabed liquefaction). Avoiding geologically hazardous areas increases the length (i.e., cost), whereas a potential crossing may detrimentally affect the structural performance of the infrastructure, requiring more sophisticated design approaches and/or more costly and probably impractical deep sea condition-mitigation measures. Under such adverse conditions, a cost-effective and resilient lifeline route is deemed necessary. The current paper presents a smart decision-support tool for the optimal route selection of submarine cables, assessing whether the proposed routing could effectively cross a (seismically) geologically hazardous area. The GIS-based tool is based on an efficient methodology that combines a least-cost path analysis with a multi-criteria decision method. Accordingly, several routes can be derived for user-defined scenarios, by assigning different weight factors in the adopted design criteria and hazards. When crossing fault zones, the problem of fault-cable intersection is quantitatively assessed in a realistic manner via advanced numerical models. The optimal route can be selected by considering the potential cable distress (i.e., exceedance of allowable cable strains). This tool can be efficiently implemented for deriving the optimal route of energy and telecommunication offshore cables, as it is described in the examined real case studies.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Geotechnical Engineering and Underground Structures · Structural Integrity and Reliability Analysis · Geotechnical Engineering and Analysis

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Chemical and Environmental Engineering, Technical University of Crete, 73100 Chania, Greece

School of Rural, Surveying and Geoinformatics Engineering, National Technical University of Athens, 15780 Athens, Greece

Funding

Hellenic Foundation for Research and Innovation (HFRI)

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