Compaction quality control on site of earthworks - A comparative study

The capacity to use geologic materials (soil and rock) that are available in the surrounding environment is inherent to the human civilization and has contributed to the evolution of societies throughout the course of history. The use of these materials in the construction of structures such as houses, roads, railways or dams, stirred the improvement of socioeconomic and environmental conditions. Several reports of structural problems on embankments can be found throughout history. A considerable number of those registers can be linked to inadequate compaction, demonstrating the importance of guaranteeing a suitable quality of soil compaction. Various methodologies and specifications of compaction quality control on site of earthworks, based on the fill moisture content and dry unit weight, were developed during the 20th century. Two widely known methodologies are the conventional and nuclear techniques. The conventional methods are based on the use of the field sand cone test (or similar) and sampling of material for laboratory-based testing to evaluate the fill dry unit weight and water content. The nuclear techniques measure both parameters in the field using a nuclear density gauge. A topic under discussion in the geotechnical community, namely in Portugal, is the comparison between the accuracy of the nuclear gauge and sand cone test results for assessing the compaction and density ratio of earth fills, particularly for dams. The main purpose of this dissertation is to compare both of them. The data used were acquired during the compaction quality control operations at the Coutada/Tamujais dam trial embankment and core construction. This is a 25 m high earth dam located in Vila Velha de Rodão, Portugal. To analyse the spatial distribution of the compaction parameters (water content and compaction ratio), a 3D model was also developed. The main results achieved are discussed and finally some considerations are put forward on the suitability of both techniques to ensure fill compaction quality and on additional research to complement the conclusions obtained.

An evolutionary multi-objective optimization system for earthworks

Earthworks involve the levelling or shaping of a target area through the moving or processing of the ground surface. Most construction projects require earthworks, which are heavily dependent on mechanical equipment (e.g., excavators, trucks and compactors). Often, earthworks are the most costly and time-consuming component of infrastructure constructions (e.g., road, railway and airports) and current pressure for higher productivity and safety highlights the need to optimize earthworks, which is a nontrivial task. Most previous attempts at tackling this problem focus on single-objective optimization of partial processes or aspects of earthworks, overlooking the advantages of a multi-objective and global optimization. This work describes a novel optimization system based on an evolutionary multi-objective approach, capable of globally optimizing several objectives simultaneously and dynamically. The proposed system views an earthwork construction as a production line, where the goal is to optimize resources under two crucial criteria (costs and duration) and focus the evolutionary search (non-dominated sorting genetic algorithm-II) on compaction allocation, using linear programming to distribute the remaining equipment (e.g., excavators). Several experiments were held using real-world data from a Portuguese construction site, showing that the proposed system is quite competitive when compared with current manual earthwork equipment allocation.

Combining data mining and evolutionary computation for multi-criteria optimization of earthworks

Earthworks tasks aim at levelling the ground surface at a target construction area and precede any kind of structural construction (e.g., road and railway construction). It is comprised of sequential tasks, such as excavation, transportation, spreading and compaction, and it is strongly based on heavy mechanical equipment and repetitive processes. Under this context, it is essential to optimize the usage of all available resources under two key criteria: the costs and duration of earthwork projects. In this paper, we present an integrated system that uses two artificial intelligence based techniques: data mining and evolutionary multi-objective optimization. The former is used to build data-driven models capable of providing realistic estimates of resource productivity, while the latter is used to optimize resource allocation considering the two main earthwork objectives (duration and cost). Experiments held using real-world data, from a construction site, have shown that the proposed system is competitive when compared with current manual earthwork design.

Report of the Workshop on Intelligent Construction for Earthworks, April 14-16, 2008

This document summarizes the discussion and findings of a workshop on intelligent technologies for earthwork construction held in West Des Moines, Iowa, on April 14–16, 2009. This meeting follows a similar workshop conducted in 2008. The objective of the meeting was to provide a focused discussion on identifying research and implementation needs/strategies to advance intelligent compaction and automated machine guidance technologies. Technical presentations, interactive working breakout sessions, and a panel discussion comprised the workshop. About 100 attendees representing state departments of transportation, Federal Highway Administration, contractors, equipment manufacturers, and researchers participated in the workshop.

Report of the Workshop on Intelligent Construction for Earthworks: April 14-16, 2009

The objectives of this workshop were to update the strategies identified during the 2008 workshop; provide a collaborative exchange of ideas and experiences; share research results; increase participants' knowledge; develop research, education, and implementation initiatives for intelligent compaction (IC) and automated machine guidance (AMG) technologies; and develop strategies to move forward. The 2 1/2 day workshop was organized as follows: Day 1: Review of 2008 workshop proceedings, technical presentations on IC and AMG technologies, and participating state department of transportation (DOT) briefings. Day 2: Industry/equipment manufacturer presentations and breakout interactive sessions on three topic areas. Day 3: Breakout session summary reporting and panel discussion involving state DOT, contractor, and industry representatives. The results of the breakout sessions on day 2 were analyzed to identify the priorities for advancement in each of the three topic areas. Key issues for each topic were prioritized by reviewing the recorder's notes in detail, finding common topics among sessions, and summarizing the participant votes.

Contribuição para o estudo dos subprodutos de uma ETAR: gradados e areias

Trabalho Final de Mestrado para obtenção do grau de Mestre em Engenharia Civil, na Área de Especialização de Hidráulica

Paisagem - Acção (1960-1970)

Dissertação apresentada para cumprimento dos requisitos necessários à obtenção do grau de Mestre em História da Arte

Modern optimization in earthwork construction

Earthworks tasks are often regarded in transportation projects as some of the most demanding processes. In fact, sequential tasks such as excavation, transportation, spreading and compaction are strongly based on heavy mechanical equipment and repetitive processes, thus becoming as economically demanding as they are time-consuming. Moreover, actual construction requirements originate higher demands for productivity and safety in earthwork constructions. Given the percentual weight of costs and duration of earthworks in infrastructure construction, the optimal usage of every resource in these tasks is paramount. Considering the characteristics of an earthwork construction, it can be looked at as a production line based on resources (mechanical equipment) and dependency relations between sequential tasks, hence being susceptible to optimization. Up to the present, the steady development of Information Technology areas, such as databases, artificial intelligence and operations research, has resulted in the emergence of several technologies with potential application bearing that purpose in mind. Among these, modern optimization methods (also known as metaheuristics), such as evolutionary computation, have the potential to find high quality optimal solutions with a reasonable use of computational resources. In this context, this work describes an optimization algorithm for earthworks equipment allocation based on a modern optimization approach, which takes advantage of the concept that an earthwork construction can be regarded as a production line.

Earthwork optimization system for sustainable highway construction

In highway construction, earthworks refer to the tasks of excavation, transportation, spreading and compaction of geomaterial (e.g. soil, rockfill and soil-rockfill mixture). Whereas relying heavily on machinery and repetitive processes, these tasks are highly susceptible to optimization. In this context Artificial Intelligent techniques, such as Data Mining and modern optimization can be applied for earthworks. A survey of these applications shows that they focus on the optimization of specific objectives and/or construction phases being possible to identify the capabilities and limitations of the analyzed techniques. Thus, according to the pinpointed drawbacks of these techniques, this paper describes a novel intelligent earthwork optimization system, capable of integrating DM, modern optimization and GIS technologies in order to optimize the earthwork processes throughout all phases of design and construction work. This integration system allows significant savings in time, cost and gas emissions contributing for a more sustainable construction.

Development of an intelligent earthwork optimization system

Tese de Doutoramento em Engenharia Civil.

A review of sustainable approaches in transport infrastructure geotechnics

Transportation geotechnics associated with constructing and maintaining properly functioning transportation infrastructure is a very resource intensive activity. Large amounts of materials and natural resources are required, consuming proportionately large amounts of energy and fuel. Thus, the implementation of the principles of sustainability is important to reduce energy consumption, carbon footprint, greenhouse gas emissions, and to increase material reuse/recycling, for example. This paper focusses on some issues and activities relevant to sustainable earthwork construction aimed at minimising the use of energy and the production of CO2 while improving the in-situ ground to enable its use as a foundation without the consumption of large amounts of primary aggregate as additional foundation layers. The use of recycled materials is discussed, including steel slag and tyre bales, alongside a conceptual framework for evaluating the utility of applications for recycled materials in transportation infrastructure.

Report of the 4th Workshop for Technology Transfer for Intelligent Compaction Consortium, TPF-5(233), 2015

This document summarizes the discussion and findings of the 4th workshop held on October 27–28, 2015 in Frankfort, Kentucky as part of the Technology Transfer Intelligent Compaction Consortium (TTICC) Transportation Pooled Fund (TPF-5(233)) study. The TTICC project is led by the Iowa Department of Transportation (DOT) and partnered by the following state DOTs: California, Georgia, Iowa, Kentucky, Missouri, Ohio, Pennsylvania, Virginia, and Wisconsin. The workshop was hosted by the Kentucky Transportation Cabinet and was organized by the Center for Earthworks Engineering Research (CEER) at Iowa State University of Science and Technology. The objective of the workshop was to generate a focused discussion to identify the research, education, and implementation goals necessary for advancing intelligent compaction for earthworks and asphalt. The workshop consisted of a review of the TTICC goals, state DOT briefings on intelligent compaction implementation activities in their state, voting and brainstorming sessions on intelligent compaction road map research and implementation needs, and identification of action items for TTICC, industry, and Federal Highway Administration (FHWA) on each of the road map elements to help accelerate implementation of the technology. Twenty-three attendees representing the state DOTs participating in this pooled fund study, the FHWA, Iowa State University, University of Kentucky, and industry participated in this workshop.