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Mahnaz Firuzi, Mohammad Hossein Ghobadi, Ali Noorzad, Ehsan Dadashi3,
Volume 13, Issue 5 (12-2019)
Abstract

Slope stability could be a major concern during the construction of infrastructures. This study is focused to analyze the slope stability of Manjil landslide that was located 41+400 to 42+200 km along Qazvin-Rasht freeway, Iran. The Manjil landslide, which had 168 m long and approximately 214 m wide, was occurred due to inappropriate cutting in June 2013 and led to destructive and closure of freeway. Slope stability analysis was carried out using a finite element shear strength reduction method (FE-SRM). The PHASE2D program was utilized in order to model the slope cutting and stability of landslide. Slope angle was flatted with 3H:2V geometry and stabilized with piling. The results indicated safety factors of 1.95 and 1.17 in the static and pseudo-static states, respectively, while the maximum bending moment with single pile (SP) in the pseudo-static state was 5.69 MN. Maximum bending moment of the pile around the slip surface was significantly large and more than the bending moment capacity of the pile. Due to the large bending moment on the pile, pile-to-pile cap connections (two pile group: 2PG) should be designed at the toe of the slope. The obtained results showed reduction of this parameter to 2.48 MN. Thus, it can be concluded that 2PG is a suitable stabilization method for the Manjil landslide.
Dr. Manoochehr Mortazavi Chamchali, Dr. Ghazaleh Mohebbi Tafreshi, Dr. Amin Mohebbi Tafreshi,
Volume 19, Issue 6 (12-2025)
Abstract

Manjil City, situated in northern Iran, faces significant seismic risk due to its proximity to active fault systems and its role as a corridor for critical regional infrastructure. Past catastrophic events have underscored the necessity of robust spatial risk assessment to mitigate human, economic, and infrastructural impacts. This study presents a comprehensive seismic risk assessment and spatial zonation for Manjil using an integrated multi-criteria evaluation approach—coupling Geographic Information Systems (GIS), the Analytic Hierarchy Process (AHP), and fuzzy logic. Risk was modeled as a function of the interaction between seismic hazard potential and spatial vulnerability. Vulnerability indicators, including residential density, land-use patterns, and critical urban lifelines, were standardized and weighted through the AHP framework. Our findings indicate that high-density residential areas are the primary contributors to urban vulnerability, whereas critical infrastructure components are disproportionately vital during emergency response scenarios. For the hazard assessment, a range of proxies were analyzed, including proximity to faults, fault density, peak ground acceleration (PGA), active tectonic indices, topographic slope, and lithological characteristics. These parameters reveal heightened hazard levels in zones adjacent to active faults. By applying fuzzy membership functions and a gamma operator (γ=0.9), we generated an integrated earthquake risk map, classified into five vulnerability tiers ranging from ‘very low’ to ‘very high.’ The spatial analysis delineated four distinct high-risk focal zones within the urban footprint, driven by the convergence of elevated seismic hazards and dense concentrations of residential and critical infrastructure. This research demonstrates the efficacy of the GIS–AHP–Fuzzy integration in providing a reliable, data-driven framework for evidence-based urban planning and proactive seismic risk management in seismically prone regions.


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