1. Introduction and Overview. 2. Detecting Influential Observations and Outliers. 3. Detecting and Assessing Collinearity. 4. Applications and Remedies. 5. Research Issues and Directions for Extensions. Bibliography. Author Index. Subject Index.

Regression Diagnostics: Identifying Influential Data and Sources of Collinearity

Dynamics of structures

random data analysis and measurement procedures is available in our digital library an online access to it is set as public so you can get it instantly. Our book servers spans in multiple countries, allowing you to get the most less latency time to download any of our books like this one. Merely said, the random data analysis and measurement procedures is universally compatible with any devices to read.

Random Data Analysis And Measurement Procedures

Emerging artificial intelligence methods in structural engineering

This report presents information on the characterization of cementitiously stabilized layers and the properties that influence pavement performance. It also contains recommended performance-related procedures for characterizing these layers and performance-prediction models for incorporation into the mechanistic–empirical pavement analysis methods. Individual chapters highlight pavement distresses of hot-mix asphalt pavements and concrete pavements, laboratory tests and model development, and model calibration. The material contained in the report will be of immediate interest to state materials, pavement, and construction engineers and others involved in the different aspects of pavement design and construction.

Characterization of Cementitiously Stabilized Layers for Use in Pavement Design and Analysis

Guidelines for Developing Performance-Related Specifications for Flexible Pavement Preservation Treatments: Microsurfacing

In the past, highway authorities have selected pavement treatment type on the basis of the driving lane conditions and have applied the same treatment to all lanes. Recently, authorities started applying different treatments to the driving and passing lanes at different times. Because of costs, most highway authorities collect only the driving lane pavement condition data. Therefore, the passing lane pavement conditions need to be modeled with the driving lane data. To address this need, time series pavement condition and distress data along the driving and passing lanes of the Minnesota Road Research Project were obtained. The data were analyzed to develop and verify methodologies to estimate the passing lane conditions and distresses accurately with the use of the measured driving lane data. The methodologies are based on the fact that most pavement distresses are caused by material and environmental factors and by traffic loads. The effects of the first two factors are similar on adjacent driving and p...

Modeling Pavement Conditions of Multilane Roads with Measured Driving Lane Data

Seasonal and diurnal variations can significantly impact falling weight deflectometer (FWD) measurements and, thus, deflection-based parameters such as back-calculated layer moduli. Therefore, it i...

Seasonal and Diurnal Variations of Backcalculated Layers Moduli in Flexible Pavements and FWD Testing Guidelines

Currently, the majority of the highway authorities in developed and developing countries have most, if not all, the data elements required for a fully integrated and comprehensive pavement management system or transportation asset management system. However, the data are scattered in various formats of electronic and paper files. Integrating the data would ease the difficulty of data mining and hence, improve the efficiency and maximize the benefits of pavement management. In a study sponsored by the Federal Highway Administration (FHWA) of the United States Department of Transportation, guidelines to integrate pavement design, material, costs, pavement conditions, and construction information were developed. The guidelines are divided into two categories; the first category addresses the sets of pavement data that are required for full integration and for maximizing the benefits from the pavement management system. The second category addresses the steps that need to be taken to achieve data integration. These steps are divided into four areas: data availability and data needs, common location reference system, technical capability of the highway agency, and continuing education. The two categories and the four areas are presented and discussed in this paper. The paper stresses that data integration could be started before the optimum set of data is collected or made accessible. Further, the paper shows that data integration is an on-going learning process that could be improved as more data become available or as more data are integrated into the database.

Procedures for Integrating Pavement Distress and Other Data Elements to Maximize the Benefits of Pavement Management

Concrete pavement structures are subjected to a complex combination of environmental and traffic loads which produce a unique distribution of stresses at the critical mid-slab edge Moreover, the fracture propagation caused by this unique distribution of stresses is a complex process because it is both size and load history dependent In this study, a series of quasi-static, constant and variable amplitude fatigue tests on simply supported single edge notched beam specimens were conducted It is shown that variable amplitude testing can providea comprehensive assessment of fatigue life because the R-ratio, peak stress intensity, and load history effects can be assessed The results of this study also suggest that the fatigue resistance curve under variable amplitude has a similar quality to that under constant amplitude loading; there is a positive decreasing slope that asymptotes to a zero slope condition beyond the critical crack extension However, the results show the magnitude of the critical crack extension and the maximum fracture resistances are not the same under the two different loading conditions

Karim Chatti

Papers

Guidelines for Developing Performance-Related Specifications for Flexible Pavement Preservation Treatments: Microsurfacing

Modeling Pavement Conditions of Multilane Roads with Measured Driving Lane Data

Seasonal and Diurnal Variations of Backcalculated Layers Moduli in Flexible Pavements and FWD Testing Guidelines

Procedures for Integrating Pavement Distress and Other Data Elements to Maximize the Benefits of Pavement Management

Plain Concrete Cyclic Crack Resistance Curves under Constant and Variable Amplitude Loading