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This paper describes a method for calibrating in-plane center alignment error (IPCA) that occurs when installing the circular motion slide (CMS). In this study, by combini ng the moving carriage of the CMS and the planar PKM (parallel kinematic mechanism) with the machine tool, the small workspace of the PKM is expanded, and the workpiece is placed on the table with the CMS installed is processed through the machine tool. However, to rigidly mount the CMS on the table, the preload between the guide and the support bearings must be adjusted with the eccentric bearing, and in this process, the IPCA occurs. After installing a reflective marker on the PKM, the PKM is slowly rotated along with the ring guide in the way of stop-and-go without the PKM’s own motion. Then, using a machine vision camera installed at the top of the CMS, the IPCA, which is the difference between the actual center position and the nominal center position of the CMS with respect to the camera, can be successfully calibrated through the circular fitting process. Consequently, it was confirmed that the IPCA of 0.37 mm can be successfully identified with the proposed method.

Landslides affect roads and transportation networks in Fahs-Anjara in Northern Morocco, which constitutes a major economic, human, and service dilemma. In order to assess this latter, we are eager to perform a detailed analytical study of the main contributing factors to landslides. To achieve this objective, we collected 108 landslides. In addition, we classified the contributing factors into five main sections (hydrology, hydrogeology, geology, geometry of the ground, and topography). Afterward, we entered the input data by using an advanced statistical program called SPSS to obtain an accurate result. Consequently, we classified our landslide types under five categories which are: 1-Debris flow, 2-solifluction flow, 3-circular slide, 4-planar slide, and 5-pavement cracks and irregularities in the longitudinal profile of roads. Our findings showed that hydrology factors are one of the most important triggers of landslides in the province of Fahs-Angara. The results of our study proved that circular landslides are the most common type of landslide in this area. Finally, our suggestive solution to stabilize landslides in this region is the appropriate surface water drainage of hills or roads. The goals of this research article aim to help civil engineers, geotechnics, designers, and decision-makers to perform a better planning and implementation of the road and transport networks, as well as to avoid the dangers and big loss resulting from the occurrence of landslides.

Mid‐range landslide outlooks can facilitate weather‐related landslide preparedness and disaster response planning, but seasonal landslide activity remains poorly quantified at continental scales. Leveraging >55,000 reported landslides from across the United States (U.S.), we used circular statistics to quantify landslide seasonality in 67 National Weather Service County Warning Areas (CWAs). We found regional differences in landslide season timing and duration, with transitions between domains variably corresponding to climate class or river basin. We assessed differences in seasonality by movement type for slides, flows, and falls, detecting apparent, but uncertain, differences between slide and fall seasonalities in 27 of 35 (77%) of CWAs with both types reported. In the Pacific Northwest, where long records exist, we found a credible shift toward a later mean landslide season in western Washington from 1990 to 2020, but no trend in western Oregon. Our results can provide emergency planners a resource to assess seasonal landslide probability nationwide.

Slope stability prediction is of primary concern in identifying terrain that is susceptible to landslides and mitigating the damages caused by landslides. In this study, a Naive Bayes Classifier (NBC) was employed to predict slope stability for a slope subjected to circular failures, based on six input factors: slope height ( H ), slope angle ( α ), cohesion ( c ), friction angle ( φ ), unit weight ( γ ), and pore pressure ratio ( r u ). An expectation maximization algorithm was used to perform parameter learning for the NBC with an incomplete data set of 69 slope cases. The model validation with 13 new cases shows that, when compared to the existing empirical approach, the proposed NBC model yields better performance in terms of both accuracy and applicability (i.e., the NBC allows us to determine the probability of slope stability based on any subset of the six input factors).

To study the cumulative damage evolution law of multi-anchor circular piles (MACP) under earthquake action, data such as acceleration and axial force of anchor cables of MACP were obtained by shaking table tests. An index of plastic effect coefficient (PEC) was proposed to quantitatively analyze the damage degree of MACP. The influence of multi-factor coupling on the cumulative damage evolution law of MACP was clarified. A landslide deformation prediction method with the axial force of anchor cable as a monitoring index was established. The results confirmed that PEC fully considered the plastic deformation characteristics of concrete materials and was more effective than the pile peak displacement (PPD) in evaluating the seismic cumulative damage effect of MACP. The cumulative damage of MACP was a result of multi-factor coupling, and multiple earthquakes led to a nonlinear increase in the damage degree of MACP. The axial force-ground motion intensity curve of the anchor cable was similar to the landslide deformation curve. The use of the axial force of the anchor cable to predict the deformation of MACP-reinforced landslides was recommended based on the idea of monitoring landslide deformation by Newton force.HighlightsThe shaking table test of multi-anchor circular piles (MACP) reinforced landslide was carried out.A plastic effect coefficient (PEC) was proposed to quantitatively analyze the damage degree of MACP.The influence of multi-factor coupling on the cumulative damage evolution law of MACP was elucidated.A landslide deformation prediction method using the axial force of the anchor cable as a monitoring index was proposed.

In the field of slope landslide prevention and monitoring in open-pit mines, addressing the lag issues associated with the traditional GNSS inverse-velocity method, this study introduces a novel strategy that integrates high-spatiotemporal-resolution monitoring data from ArcSAR with a time log model for prediction. The key findings include the following: (1) This strategy utilizes the normal distribution characteristics of deformation velocities to set confidence intervals, accurately identifying the starting point of accelerated deformation. (2) Coupled with coordinate transformation, the time logarithm prediction method was constructed, unifying the units of measurement and resolving convergence issues in data fitting. (3) Empirical research conducted at the Kambove open-pit mine in the Democratic Republic of the Congo demonstrates that this method successfully predicts landslide times four hours in advance, with an error margin of only 0.18 h. This innovation offers robust technical support for slope landslide prevention and control in open-pit mines, enhancing safety standards and mitigating disaster losses.

PurposeThis study explores the relationships among sustainability implementation barriers (resource, managerial and regulatory barriers), sustainability practices (sustainable construction materials, sustainable construction design, modern construction methods and environmental provisions and reporting) and sustainability performance (environmental, economic and social) in hill road construction (HRC).Design/methodology/approachPrimary data were collected from the 313 HRC practitioners with the help of a questionnaire, and research hypotheses were tested employing structural equation modeling.FindingsThe findings reveal a mixed effect of sustainability implementation barriers. Resource (managerial) barriers are negatively related to all practices except environmental provisions and reporting (sustainable construction materials), while regulatory barriers only negatively impact modern construction methods. On the other hand, all sustainability practices positively impact environmental performance, whereas economic (social) performance is positively influenced by all practices, except environmental provisions and reporting (modern construction methods), and positively affects economic performance.Originality/valueIn order to transform HRC toward sustainability, the barriers to sustainability implementation, sustainability practices and performance need to be understood by practitioners; however, the relationships have not previously been empirically assessed in extant literature. Besides, past research appears to be predominantly focused on the environmental aspect, thereby neglecting economic and social aspects. This study is a modest attempt to bridge these research gaps.

Urban environments face escalating risks due to climate change, necessitating a transition from reactive disaster management to proactive resilience-building strategies. Trondheim, a city vulnerable to quick clay landslides, exemplifies the urgent need to integrate resilience engineering, societal engagement, and circular solutions into climate adaptation efforts. This paper explores how multi-stakeholder collaboration and technological innovation can mitigate geohazards while fostering sustainable urban development. Drawing from 20 years of Resilience Engineering research, as well as findings from the ENGAGE project, this study examines the role of citizen participation, digital tools, and emergency preparedness exercises in strengthening Trondheim’s adaptive capacity. The ENGAGE project conducted landslide simulation exercises in Trondheim, working closely with the Trondheim Red Cross, first responders, municipal authorities, and local stakeholders. These exercises tested early warning systems, evacuation procedures, and community risk awareness, revealing key insights into the intersection of resilience and sustainability in disaster preparedness. Societal engagement is critical in bridging the gap between policy frameworks and local adaptation efforts. Drawing on the insights gained from the ENGAGE project in Trondheim and further enriched by the experience of other European initiatives, the COmmunity REsilience (CORE) Labs of the RESILIAGE project are now advancing the development of community-driven resilience frameworks in the city, fostering collaboration between citizens, policymakers, and researchers. In addition to Trondheim’s work on quick clay landslides, RESILIAGE has established four other CORE Labs across Europe and beyond, addressing earthquakes, heatwaves, and wildfires, each focusing on locally relevant hazards and community-centred adaptation strategies.This paper contributes to the “Climate Change and Resilience” theme of SBE25 by demonstrating how integrated approaches to climate change mitigation and adaptation generate co-benefits across sectors. By leveraging circular economy principles, social innovation, and resilience engineering methodologies, Trondheim can serve as a model for cities facing climate-driven geohazards. The study emphasizes that climate-resilient urban environments must be both adaptive and inclusive, ensuring that sustainability is not just a regulatory goal but a shared societal responsibility.

The current study is related to the slope stability assessment along a part of pilgrimage route (NH-154A) connecting a holy shrines of Bharmour and Manimahesh. This road section also connects with hydroelectric dams and power stations through a tunnel. The recognition of the soil slopes has been done along the road corridor, thereafter, topographical and geotechnical based investigations were carried out along the failed soil slope sections. The soil samples were collected from each selected site for geotechnical studies. In general, the slopes with an inclination angles varying from 40°—80° were identified in the study area. Using circular failure charts (CFC), the factor of safety values were obtained based on the requisite parameters of the slope. The current study will be helpful for mitigating unstable slopes along the highway stretch. The slope steepness, proximity to river Ravi, rainfall, and human disturbance due to road widening are major triggering factors for slope instability along NH-154A.

The use of waste textiles and the search for alternative materials for landslide and erosion control are currently subjects of great importance. This paper presents and evaluates a novel application of waste wool and waste textile ropes arranged in a rhomboid pattern on a slope, and polypropylene nonwoven ropes threaded through iron rods to form a layered retaining wall at the slope toe. Together, these measures provide dual functionality in erosion control and the retaining wall. Monitoring results, material property evaluations, and qualitative and quantitative erosion assessments using the Universal Soil Loss Equation model indicate that the proposed measures are effective, with both the slope and the retaining wall performing well several years after installation. Furthermore, variations in the rainfall erosivity factor as calculated using different equations can lead to notable differences in estimated soil loss, highlighting the need for careful determination of this factor. This case demonstrates a new approach to using polypropylene nonwoven material, and potentially also waste textiles, as a layered retaining structure that is cost-effective and time-efficient and contributes to sustainability and the circular economy. Similar layered retaining structures could be applied in various fields of civil and environmental engineering.