Design and Load Verification of Driven Pile Foundations

Eleven pile load tests were reviewed and analyzed to document the issues related to the design and load tests of driven pile foundations for a new bridge construction project in Louisiana. This project involves the design and construction of an elevated bridge approximately 17 miles in length. The project area is located in a Coastal Deltaic Plain, Saline Marsh area, underlain by slightly under-consolidated to normally-consolidated weak clays to depths greater than 200 feet. Environmental and site constraints limited the use of pile types and load test methods for this project. The geotechnical investigation methods consist of both cone penetration test and soil borings. Both statnamic load tests and static load tests were used depending upon the magnitude of the test loads. The construction method also dictated the duration of setup allowed for in the performance of the load tests. This paper documents the results of an extensive load test program including the setup behavior of various piles. The results of dynamic monitoring at various times for setup checks with either static or statnamic load tests were also discussed. The Tomlinson α-Method and the Norlund’s Method proved to provide excellent predicted pile capacities

Motor Noise and Vibration Test Research

Some factors, such as friction, vibration, and so on, can result in the fault and abnormal noise in the motor. Based on the detection and analysis of noise and vibration, we can identify and eliminate the faults of the motor. This is helpful not only to ensure the completion of production tasks, but also to prevent accidents. In this paper, we briefly introduce the motor noise generation principle. A laptop computer and LabVIEW software are used to design the experiment system to detect and analysis the noise and vibration of motor. External microphone and computer with sound card constitute noise detection system hardware. Vibration sensor and the data acquisition card constitute vibration detection system hardware. LabVIEW software combined with FFT analysis is used to realize the noise signal acquisition, recording and spectral analysis. Detecting and analyzing the noise of the permanent magnet DC motor and three-phase asynchronous motor proves that the motor noise and vibration detecting experimental platform is fully meet the requirements of motor test and research. This detection and analysis system has a good man-machine interface and strong operability

Use of Uncertainty Methodology in Identification and Classification of Soils Based Upon CPT.

The current Cone Penetration Test (CPT) soil engineering classifications have two kinds of uncertainties: randomness and fuzziness. Research indicates that possible solutions to these uncertainties can only be worked out through modeling them. Therefore, a systematic investigation is performed and some preparative tasks are done in advance. First, an efficient soil classification index, U, is defined and several CPT soil classification charts are simplified accordingly. Second, a moving window approach based upon an Intraclass Correlation Coefficient (ICC) to determine normal soil behavior units is adopted so that a correlation between soil types and soil behavior units can be established. Based upon these approaches, a preliminary data reduction is performed on the raw CPT data from eight sites, and the characteristics and distributions of the soil behavior units are determined and discussed for seven soil types. Two statistical criteria, Region Estimation and Point Estimation, based upon distributions of soil behavior units are then developed to predict soil type using CPT data. Also, a fuzzy subset approach is suggested to handle the fuzziness and randomness. In this CPT fuzzy soil engineering classification, a new naming system is used. The randomness of CPT soil engineering classification is put into the conceptual framework of three new soil types. The fuzziness is then described by fuzzy membership functions. These functions are derived from the modification of the density functions of corresponding compositional soil groups. Finally, a new package of CPT soil engineering classification is suggested. It consists of following procedures: (1) Transform a CPT sounding profile of parameters (tip resistance, q\sb{\rm c}, and friction ratio, FR) by conformal mapping to a corresponding profile of soil classification index, U; (2) Layer the U profile by ICC moving window method and calculate the mean of U values for each layer to determine the soil behavior unit; (3) Predict the soil type of each layer by matching the soil behavior unit of that layer with the classification criteria suggested in this study. Several sets of CPT soil engineering classification criteria are recommended in this dissertation. They are the indicators of an evolution process from the purely empirical to the purely theoretical

The lithospheric lager and block velocity structure and motion of Substance for Tibetan plateau

Abstract HKT-ISTP 2013 A

Research on Online Moisture Detector in Grain Drying Process Based on V/F Conversion

An online resistance grain moisture detector is designed, based on the model of the relationship between measurement frequency and grain moisture and the nonlinear correction method of temperature. The detector consists of lower computer, the core function of which is the sensing of grain resistance values which is based on V/F conversion, and upper computer, the core function of which is the conversion of moisture and frequency and the nonlinear correction of temperature. The performance of the online moisture detector is tested in a self-designed experimental system; the test and analysis results indicate that the precision and stability of the detector can reach the level of the similar products, which can be still improved