Dam Maintenance Research Articles

Penerapan Building Information Modeling (BIM) sebagai Sistem Informasi dalam Peningkatan Kinerja Pemeliharaan Bendungan

Dams are critical infrastructure that faces maintenance challenges due to resource limitations, fragmented data, and inefficiencies in workflow management. Building Information Modeling (BIM), by integrating multidimensional data, offers a promising solution to address these challenges by improving maintenance operations through better data visualization, coordination, and decision-making. The purpose of this study is to investigate how BIM can improve the efficiency and performance of dam maintenance operations in Indonesia. This study uses a mixed method approach, which combines qualitative and quantitative methods. Data was collected through semi-structured interviews with dam maintenance experts and engineers, as well as field observations of projects that implemented BIM. The analysis also involves a review of relevant literature on global BIM applications. Quantitative data is analyzed using statistical tools, while qualitative data is coded to identify key insights and themes. The results show that BIM significantly improves dam maintenance efficiency by optimizing maintenance scheduling, resource allocation, and structural monitoring. BIM's 3-Dimensional (3D) modeling capabilities enable early detection of structural problems, improve safety, and reliability. In addition, the study identifies scalability challenges for small-scale projects and recommends tailored solutions to ensure wider deployment. This research contributes to the development of sustainable maintenance strategies for critical infrastructure, especially in developing countries such as Indonesia.

Contingency Planning and Flood Disaster Management in Nigeria: A Critical Study

This paper examines the persistent challenge of floods in Nigeria despite established institutional frameworks for disaster management. As a result, millions of people are displaced each year. Based on this premise, this article investigates if there are contingency planning and measures to manage flood in Nigeria to curb disaster mismanagement towards ensuring sufficient food production, distribution and consumption in the country. This is done through the exploration of government policies on flood management particularly how best government prepare for flood pandemic. Theoretically, the article adopts the Emergency Management theory and contingency approach as the framework of analysis and relies heavily on secondary data which includes relevant contemporary books, peer-reviewed articles, newspaper reports on flood in Nigeria, images showing how flood ravaged some parts of Nigeria, and Government reports among others. The study dissects the experiences of flood disasters with occurrence of cases from a few Nigerian states; and a desk-top data analysis framework as its method of analysis. The study found out that insufficient funding, poor infrastructure, undue deforestation, environmental policy flip-flops, negligence of climate change records and lack of contingent response. Therefore, the study recommends afforestation, maintenance of dams, recovery commitment for the flood affected communities, appropriate responses to climate change records, environmental policy sustainability, a contingent model to flooding and effective application of emergency management principles.

Implementing Building Information Modeling (BIM) to Enhance Efficiency and Performance in DAM Maintenance

Dams are important infrastructures that face maintenance challenges due to limited resources, fragmented data, and inefficiencies in workflow management. Building Information Modeling (BIM), by integrating multidimensional data, offers a promising solution to overcome these challenges by improving maintenance operations through better data visualization, coordination, and decision making. The objective of this research is to investigate how BIM can improve the efficiency and performance of dam maintenance operations in Indonesia. This research uses a mixed-method approach, combining qualitative and quantitative methods. Data was collected through semi-structured interviews with dam maintenance experts and engineers, as well as field observations of projects implementing BIM. The analysis also involved a review of relevant literature on global BIM applications. Quantitative data was analyzed using statistical tools, while qualitative data was coded to identify key insights and themes. The results showed that BIM significantly improves dam maintenance efficiency by optimizing maintenance scheduling, resource allocation, and structural monitoring. BIM's 3D modeling capabilities enable early detection of structural problems, improving safety and reliability. In addition, the research identified scalability challenges for smaller-scale projects and recommended tailored solutions to ensure wider adoption. This research contributes to the development of a sustainable maintenance strategy for critical infrastructure, especially in developing countries such as Indonesia.

The Relationship Between Risk Factors in Dam Maintenance Work and Dam Maintenance Performance

Dam maintenance is a crucial aspect of water infrastructure management to ensure its continued functionality in flood control, clean water supply, and irrigation. A number of dam failures, such as those at Situ Gintung and Cisadane Dam, demonstrate the importance of a risk-based maintenance strategy to reduce the impact of dam failures on society and the environment. This study aims to analyze the relationship between risk factors in dam maintenance work and the resulting maintenance performance. This study uses a mixed-method approach, with archive analysis to identify the main risk factors in five aspects (working methods, labor, equipment, materials, and the environment) as well as a survey of 30 professionals in the field of dam maintenance to evaluate their frequency and impact. Data analysis was carried out through Kendall Tau correlation test, factor analysis, linear regression, and multicollinearity test to determine the significant influence of risk factors on maintenance performance. The results showed that of the 38 risk variables identified, 31 were categorized as high risk, with 19 main categories having a significant impact on dam maintenance. The most influential risk factors are work method errors, labor limitations, and environmental factors such as sedimentation and erosion. Regression analysis shows that these risk factors explain 53.9% of the variability in dam maintenance performance. The implications of this study emphasize the need for the implementation of data-based risk mitigation systems, increased supervision, and strengthening of labor capacity to ensure the effectiveness of dam maintenance on an ongoing basis.

Evolution of grading and particle crushing of rockfills upon shearing and over creeping in large–scale triaxial tests

There is substantial evidence that crushable soils (e.g., sands, gravels and rockfills, etc.) undergo particle crushing upon shearing or over creeping. To investigate the evolution of grading and particle crushing of coarse-grained materials, a series of consolidated and drained (CD) triaxial compression and creep tests were conducted on rockfills using a large-scale triaxial (LST) apparatus. The test data from the sieve analysis test, both before and after the tests, were subjected to a comprehensive qualitative and quantitative analysis of the variation of grading or breakage index. Research findings indicate a decrease in the percentage of coarser particles in the particle components of rockfills, accompanied by an increase in the amount of particle crushing upon shearing or over creeping. Furthermore, a series of empirical expressions were proposed through nonlinear fit of test data to characterize the relationship between the breakage index and two variables (i.e., the normalized plastic work and mean effective stress) under various confining pressures and stress levels upon shearing or over creeping. These findings can provide a scientific basis for the design, construction and maintenance of rockfill dams or high rockfill embankments in practical engineering application.

Reliability Evaluation Techniques for Improving the Safety and Maintenance of Aging Dams

Reliability Evaluation Techniques for Improving the Safety and Maintenance of Aging Dams

A mileage correction method of pipeline inertial measurement for dam internal deformation monitoring

Internal deformation monitoring is of great significance to the safe operation and maintenance of dams. Some scholars have carried out dam internal deformation monitoring by pipeline inertial measurement with a pipeline measurement robot, which has improved the monitoring accuracy and efficiency considerably, compared with the traditional monitoring methods. However, there are still shortcomings in this method. Because the odometer on the pipeline measurement robot will slip or slide, resulting in errors in the mileage of the multiple measurement routes, which hinders the development of the accuracy of pipeline inertial measurement. This paper proposes a mileage correction method based on junction detection to improve the accuracy of pipeline inertial measurement for better dam internal deformation monitoring. The mileage correction method establishes a reference model of pipeline junction location, detects the locations of pipeline junction welds on the measurement routes using two k-mean clustering, and corrects the odometer data based on the difference between the detected and reference locations. We evaluate the enhancement of this mileage correction method on the internal accuracy and deviation values compared with other method for pipeline inertial measurement. The proposed method is validated using measured data from the internal pipeline of Tianchi Dam. The results show that compared with the results directly fused without detection–correction, the method proposed in this paper reduces the root-mean-square error of the results by an average of 30.30% and improves the deviation compared with the reference deformation by an average of 2.3 mm. Therefore, the method has good results and practical applications.

An Exploratory Study of the Impact of the One-Village-One-Dam Initiative in Northern Ghana

This study is an exploratory examination of the effect of the Ghana government’s flagship program known as the One-Village-One-Dam (1V1D) initiative on the livelihoods of rural farmers in the five regions of Northern Ghana. A total of 15 constituencies proportionate to the number of constituencies in each of the five beneficiary regions were selected from the region. Data were collected from a total of 1585 respondents, comprising 785 from the control group and 800 from the treatment group. The survey focused on access to water, crop and livestock productivity, income generation, and overall well-being. Four main findings are reported. First, the results show differential effects of the 1V1D initiative. There was an increase in reliance on 1V1D dams for water, particularly in the Northern region, where challenges such as insufficient water storage and poor dam maintenance hindered their effectiveness for irrigation and livestock rearing. Second, the use of water from boreholes was more popular in the other parts of Northern Ghana. Third, the shallowness of most of the dams meant that they dried up during the dry season and, therefore, did not have a significant effect on crops and livestock productivity. Finally, the dams had a marginal effect on food security, income levels of the farmers, and consequently on their overall livelihoods. The findings of this exploratory study will provide insights to enrich further studies based on the second and third rounds of data collection.

Failure analysis of arch dam under fault action based on inter-generational coordination

Failure analysis of arch dam under fault action based on inter-generational coordination

Technical requests on maintenance of dams in regard with dam safety standards

Technical requests on maintenance of dams in regard with dam safety standards

Improvements and maintenance of embankment dams - are guidelines in respect of nature law considered positive?

Improvements and maintenance of embankment dams - are guidelines in respect of nature law considered positive?

Determining aspects of techno-ecological dam maintenance on the river Mur

Determining aspects of techno-ecological dam maintenance on the river Mur

Challenges of ecological and technical dam maintenance using the example of the Marchfeld protective dam (Lower Austria)

Challenges of ecological and technical dam maintenance using the example of the Marchfeld protective dam (Lower Austria)

Monitoring and Quantifying Soil Erosion and Sedimentation Rates in Centimeter Accuracy Using UAV-Photogrammetry, GNSS, and t-LiDAR in a Post-Fire Setting

Remote sensing techniques, namely Unmanned Aerial Vehicle (UAV) photogrammetry and t-LiDAR (terrestrial Light Detection and Ranging), two well-established techniques, were applied for seven years in a mountainous Mediterranean catchment in Greece (Ilioupoli test site, Athens), following a wildfire event in 2015. The goal was to monitor and quantify soil erosion and sedimentation rates with cm accuracy. As the frequency of wildfires in the Mediterranean has increased, this study aims to present a methodological approach for monitoring and quantifying soil erosion and sedimentation rates in post-fire conditions, through high spatial resolution field measurements acquired using a UAV survey and a t-LiDAR (or TLS—Terrestrial Laser Scanning), in combination with georadar profiles (Ground Penetration Radar—GPR) and GNSS. This test site revealed that 40 m3 of sediment was deposited following the first intense autumn rainfall events, a value that was decreased by 50% over the next six months (20 m3). The UAV–SfM technique revealed only 2 m3 of sediment deposition during the 2018–2019 analysis, highlighting the decrease in soil erosion rates three years after the wildfire event. In the following years (2017–2021), erosion and sedimentation decreased further, confirming the theoretical pattern, whereas sedimentation over the first year after the fire was very high and then sharply lessened as vegetation regenerated. The methodology proposed in this research can serve as a valuable guide for achieving high-precision sediment yield deposition measurements based on a detailed analysis of 3D modeling and a point cloud comparison, specifically leveraging the dense data collection facilitated by UAV–SfM and TLS technology. The resulting point clouds effectively replicate the fine details of the topsoil microtopography within the upland dam basin, as highlighted by the profile analysis. Overall, this research clearly demonstrates that after monitoring the upland area in post-fire conditions, the UAV–SfM method and LiDAR cm-scale data offer a realistic assessment of the retention dam’s life expectancy and management planning. These observations are especially crucial for assessing the impacts in the wildfire-affected areas, the implementation of mitigation strategies, and the construction and maintenance of retention dams.

THE PROBLEM OF MULTICRITERIA CHOICE IN THE AGING DAM SAFETY ENSURING

Making decisions about the long-term operation of ժօտտ, incluժing rehabilitation, modernization, or removal, is critical to the successful management of this aging infrastructure օոժ provibes an opportunity to weigh the many risks bams pose. The construction anb operation of bams is critical to the economic bevelopment of every country, but many bams anb their reservoirs have exceeded their design life and no longer serve their purpose. Worldwide, decades of disinvestment in dam maintenance have resulted in significant risks and, in many cases, removal may be a more cost-effective alternative to repair and reconstruction. Even for functioning dams, removal may be the best long-term management strategy due to the benefits of safety, flood risk reduction, and other alternatives, as climate change negatively impacts the hydrological regime of rivers.

Penilaian Risiko Bendungan Manggar Dengan Metode Modifikasi ICOLD

Dam failure has fatal consequences. This is especially true for the infrastructures as well as population settling around the dam. Due to this reason, operation and maintenance of dams should put special care and attention on dam safety. Unfortunately, the budget allocated for dam operation and maintenance for many dams in Indonesia is still very limited. Therefore, it is necessary to determine the priority scale of maintenance or rehabilitation of dams based on its risk classification through a risk assessment. The risk assessment conducted for this research uses the modified ICOLD method. The modified ICOLD method is based on the results of a major inspection conducted in 2019. The results showed that Manggar Dam is categorized as a medium risk dam with a total risk score of 45. Recommended actions to minimize the risk of harm to dam failure included improved operations and maintenance management, improved quality of human resources managing dams, and improved reporting management

Modified Andersen and Modified ICOLD (DOISP-2) Methods of Risk Score for Dams in West Region of Indonesia

Risk assessment for the dams in West Java Province with a method of Modified Andersen and Modified ICOLD (DOISP-2) have been done; the assessment is part of the activities of Dam Operation Improvement Safety Project-2 (DOISP-2) at Central Project Implementation Unit (CPIU), Ministry of Public Works and Housing. Dams were studied to analyse the risks of the deficiency of the structure due to the load under normal operating conditions, flood conditions, and earthquake conditions. This article summarizes the risk assessment process, assessment results, conclusions and recommendations for both risk index methods. The document also includes an assessment of the risk assessment process and policy recommendations for the operation and maintenance of dams. The results are risk rankings between the two methods give different sequences; this is due to differences in the risk assessment approach of both methods. Modified Andersen focused on structural deficiencies, especially visually, and modification ICOLD Method (DOISP-2) focused on design flaws and risks downstream of the dam. Although both methods have different approaches, both methods can be used in risk analysis of the dam’s adjusted purposes of risk index assessment.

Efficiency Study of Combined UAS Photogrammetry and Terrestrial LiDAR in 3D Modeling for Maintenance and Management of Fill Dams

Low-cost unmanned aerial system (UAS) photogrammetry and terrestrial laser scanner (TLS, terrestrial LiDAR) technologies are being used as noncontact measurement methods for collecting unstructured data for the maintenance of construction infrastructure facilities. This study investigated the possibility of settlement, which is a maintenance condition evaluation item for fill-dam bodies, using point clouds based on the UAS (unmanned aerial system) structure from motion (UAS-SfM) and TLS (terrestrial laser scanner) point clouds. Specifically, the Z-axis RMSE of the point cloud improved to 0.012 m and the shape reproducibility rate to 98.53% by complementing the heterogeneous data of the UAS and TLS by combining the two systems with block coordination and ICP algorithms. The maximum settlement height and volume (heaving) of the dam crest and upstream and downstream slopes were derived from the combined UAS/TLS point-cloud-based 3D model. The quantitative values for the settlement of the fill-dam body were derived using the combined 3D model with high accuracy and density. This result verified the possibility of using the combined 3D model for evaluation of the maintenance condition.

TRANSBOUNDARY RIVER BASIN EUPHRATES-TIGRIS: INTERNATIONAL LEGAL REGULATION

Countries all around the globe have shown a strong desire to restrict the utilization of international water channels for non-navigational uses since they are important to human civilisation. This is to avoid issues that may occur because of the usage purposes of international water bodies such as rivers and streams. This research covers a narrow scope, which is limited to legislation addressing the use of international water channels to effectively settle international water disputes, to cover the lawful use of international watercourses. It also provides an overview of transboundary water interactions in the Euphrates-Tigris River basin, followed by a discussion of key topics. From the standpoint of international law, this study discusses the connections among Turkey, Syria, and Iraq regarding their shared water, the Euphrates and the Tigris. Finally, the paper concluded that Iraq must review its entire water policy and identify its flaws, including irrigation methods, dam maintenance, and the management of water resources by international standards. Iraq's deviation from these matters constitutes a violation of the international obligations to which it is bound by international treaties, particularly the framework agreement. This study concludes that Iraq's evaluation of its internal legislation and all of its projects built on the Tigris and Euphrates rivers adds significantly to the resolution of these issues.

The Reliability of Stored Water behind Dams Using the Multi-Component Stress-Strength System

Dams are essential infrastructure for managing water resources and providing entry to clean water for human needs. However, the construction and maintenance of dams require careful consideration of their reliability and safety, specifically in the event of extreme weather conditions such as heavy rainfall or flooding. In this study, the stress-strength model provides a useful framework for evaluating the reliability of dams and their ability to cope with external stresses such as water pressure, earthquake activity, and erosion. The Shasta reservoir in the United States is a prime example of a dam that requires regular assessment of its reliability to guarantee the safety of communities and infrastructure. The Gumbel Type II distribution has been suggested as a suitable model for fitting the collected data on the stress and strength of the reservoir behind the Shasta dam. Both classical and Bayesian approaches have been used to estimate the reliability function under the multi-component stress-strength model, and Monte Carlo simulation has been employed for parameter estimation. In addition, some measures of goodness-of-fit are employed to examine the suitability of the suggested model.