scholarly journals Earthwork Planning and Visualisation of Time-Location Information in Road Construction Projects

Author(s):  
R. K. Shah

<p>Accurate information of locations from visual aspect is vital for efficient resource planning and managing the workspace conflicts in the earthwork operations, which are missing in the existing linear schedules. Hence, the construction managers have to depend on the subjective decisions and intangible imagining for resources allocation, workspace conflicts and location-based progress monitoring in the earthwork projects. This has caused uncertainties in planning and scheduling of earthworks, and consequently delays and cost overruns of the projects. To overcome these issues, a framework of computer based prototype model was developed using the theory of location-based planning. This paper focuses on the case study experiments to demonstrate the functions of the model, which includes automatic generation of location-based earthwork schedules and visualisation of cut-fill locations on a weekly basis. The experiment results confirmed the model’s capability in identifying precise weekly locations of cut-fill and also visualising the time-space conflicts at the earthwork projects. Hence, the paper concludes that the model is a useful decision supporting tool to improve site productivity and reduce production cost of earthworks in the construction projects like roads and railways. </p><p><em>Journal of Advanced College of Engineering and Management, Vol. 1, 2015</em>, pp. 75-84</p>

Author(s):  
Aderemi Adeyemi ◽  
Olefile Segwabe

Claims are considered to be one of the most serious disruptive forces to successful project delivery in the construction industry. In a small developing economy like Botswana, it is germane to identify the sources and the frequency of occurrence of claims so that the burden of project cost overrun, a hallmark of the country’s construction industry is substantially reduced. Detailed literature review and preliminary field investigations were used to identify causes of claims related to road construction projects. The study identified six major types of claim and twenty seven causes of claims. Using questionnaire as research instrument, respondents (construction industry major stakeholders i.e. clients, consultants and contractors) were asked to rank the frequency of occurrence of the types and causes of claims in road construction projects on a Likert-type scale. Relative importance index (RII) method was used to analyze the data collected from the questionnaire survey. The analysis was carried out for each group of respondents and on the overall results (all the parties combined). A total of 27 useful responses made up of nine clients, ten consultants and eight contractors) were analyzed. Findings indicated that the clients and consultants specified delay claims followed by extra work claims were the most frequent type of claims in the construction of roads in Botswana. Contractors perceived differing site conditions followed by delay claims as the most frequent type of claims. From the overall response, delay claims were ranked first followed by extra work claims. Acceleration claims were ranked least. The top five most frequent causes of claims based on overall ranking were: variation in quantities, design errors, poor site management and supervision by contractor, ineffective planning and scheduling of project by contractor, and low price of contract due to high competition. Construction industry research in Botswana has never looked into the issue of claims and yet it is one of the hidden sources of construction project failure in the country. It is perceived that hedging against the most adverse causes of claims will stem the tide of incessant cost overrun, litigation and project abandonment on road projects in Botswana.


Buildings ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 150
Author(s):  
Dongyeob Han ◽  
Suk Bae Lee ◽  
Mihwa Song ◽  
Jun Sang Cho

Currently, unmanned aerial vehicles are increasingly being used in various construction projects such as housing developments, road construction, and bridge maintenance. If a drone is used at a road construction site, elevation information and orthoimages can be generated to acquire the construction status quantitatively. However, the detection of detailed changes in the site owing to construction depends on visual video interpretation. This study develops a method for automatic detection of the construction area using multitemporal images and a deep learning method. First, a deep learning model was trained using images of the changing area as reference. Second, we obtained an effective application method by applying various parameters to the deep learning process. The application of the time-series images of a construction site to the selected deep learning model enabled more effective identification of the changed areas than the existing pixel-based change detection. The proposed method is expected to be very helpful in construction management by aiding in the development of smart construction technology.


2020 ◽  
Vol 53 (2) ◽  
pp. 10761-10766
Author(s):  
Walid Elmughrabi ◽  
Oumaima Ben Sassi ◽  
Thien-My Dao ◽  
Amin Chabaane

2019 ◽  
Vol 9 (1) ◽  
pp. 14-17 ◽  
Author(s):  
Magdalena Kowacka ◽  
Dariusz Skorupka ◽  
Artur Duchaczek ◽  
Paweł Zagrodnik

AbstractThe work contains information on the implementation of surveying works in the road construction process. The aim of the research was to identify geodetic risk factors occurring at the stage of preparation of a construction project, the presence of which can greatly disrupt the undertaking such as the road construction. The research was carried out on the basis of expert knowledge, documentation obtained from various road construction projects and the analysis of disturbances at the initial stage of works.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Charles Igwe ◽  
Fuzhan Nasiri ◽  
Amin Hammad

PurposeThis study highlights the findings of an empirical study to investigate waste factors (WFs) affecting the performance and delivery of construction projects in developing countries. The objectives of this study are to identify non-physical WFs in developing nations and rank the identified factors based on their degree of influence on the key performance indicators (KPIs) of cost, quality and time.Design/methodology/approachIn total, 34 WFs were identified through a detailed literature review and consolidated using semi-structured interviews with construction practitioners. The statistical analysis involved a normality test using the Shapiro–Wilk test to determine if sample data have been drawn from a normally distributed population, ranking the WFs using the Frequency Index (FI), Severity Index (SI) and Importance Index (IMPI), ranking the WFs based on their effect on the project KPIs of cost, quality and time, and identify clustering structures for the identified WFs to using factor analysis (FA).FindingsThe results revealed ineffective planning and scheduling, rework/repair of defective work and resource quality problems (human, material and equipment) as the three most important WFs affecting construction projects. The factor analyses showed that WFs can be grouped into five interrelated components, suggesting the need for integrated and holistic strategies to overcome the identified WF.Practical implicationsUnderstanding the effects of WFs on construction projects is a first step towards designing holistic solutions to ensuring projects deliver value to the clients and other stakeholders. The findings of this study provide direction to construction practitioners on where to focus appropriate strategies to manage the identified WFs effectively and, therefore, improve the productivity of construction projects.Originality/valueThis study provides the first holistic analysis of WFs affecting the productivity of construction projects in developing countries.


2018 ◽  
Vol 162 ◽  
pp. 01007
Author(s):  
Zeena Samueel ◽  
Hussein Karim ◽  
Mohammed Mohammed

In many road construction projects, if weak soil exists, then uncontrollable settlement and critical load carrying capacity are major difficult problems to the safety and serviceability of roads in these areas. Thus ground improvement is essential to achieve the required level of performance. The paper presents results of the tests of four categories. First category was performed on saturated soft bed of clay without any treatment, the second category shed light on the improvement achieved in loading carrying capacity and settlement as a result of reinforcing with conventional sand columns at area replacement ratio = 0.196. The third set investigates the bed reinforced by sand columns stabilized with dry silica fume at different percentages (3, 5 and 7%) and the fourth set investigates the behavior of sand columns treated with slurry silica fume at two percentages (10 and 12%). All sand columns models were constructed at (R.D= 60%). Model tests were performed on bed of saturated soil prepared at undrained shear strength between 16-20 kPa for all models. For all cases, the model test was loaded gradually by stress increments up to failure. Stress deformation measurements are recorded and analyzed in terms of bearing improvement ratio and settlement reduction ratio. Optimum results were indicated from soil treated with sand columns stabilized with 7% dry silica fume at medium state reflecting the highest bearing improvement ratio (3.04) and the settlement reduction ratio (0.09) after 7 days curing. While soil treated with sand columns stabilized with 10% slurry silica fume provided higher bearing improvement ratio 3.13 with lower settlement reduction ratio of 0.57 after 7-days curing.


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