2022
DOI: 10.5194/nhess-22-2589-2022
|View full text |Cite
|
Sign up to set email alerts
|

Modelling the sequential earthquake–tsunami response of coastal road embankment infrastructure

Abstract: Abstract. Transport networks in coastal, urban areas are extremely vulnerable to seismic events, with damage likely due to both ground motions and tsunami loading. Most existing models analyse the performance of structures under either earthquakes or tsunamis, as isolated events. This paper presents a numerical approach that captures the sequential earthquake–tsunami effects on transport infrastructure in a coastal area, taking into consideration the combined strains of the two events. Firstly, the dynamic cyc… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
0
0

Year Published

2024
2024
2024
2024

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 58 publications
(47 reference statements)
0
0
0
Order By: Relevance
“…After the earthquake, the flood resilience could be compromised due to two main factors: (i) the flood-prevention structures (e.g., flood walls) and equipment (e.g., pumps) could be damaged during the earthquake, and (ii) the collapsed buildings could block the evacuation routes. The confluence of these two factors can exacerbate the severity of coastal flooding impacts (Goda et al, 2019;Ito et al, 2020;Román-de La Sancha et al, 2022;Takabatake et al, 2022).…”
Section: Introductionmentioning
confidence: 99%
“…After the earthquake, the flood resilience could be compromised due to two main factors: (i) the flood-prevention structures (e.g., flood walls) and equipment (e.g., pumps) could be damaged during the earthquake, and (ii) the collapsed buildings could block the evacuation routes. The confluence of these two factors can exacerbate the severity of coastal flooding impacts (Goda et al, 2019;Ito et al, 2020;Román-de La Sancha et al, 2022;Takabatake et al, 2022).…”
Section: Introductionmentioning
confidence: 99%