Some data on long term large screw pile group behavior

ce/papers ◽  
2018 ◽  
Vol 2 (2-3) ◽  
pp. 113-134
Author(s):  
William F. VAN IMPE ◽  
Peter O. VAN IMPE ◽  
Alice MANZOTTI
Keyword(s):  
2020 ◽  
Author(s):  
Meihong Wu ◽  
Xiaoyan Cao ◽  
Shihui Guo

AbstractMonitoring social insects’ activity is critical for biologists researching their group mechanism. Manually labelling individual insects in a video is labour-intensive. Automated tracking social insects is particularly challenging: (1) individuals are small and similar in appearance; (2) frequent interactions with each other cause severe and long-term occlusion. We propose a detection and tracking framework for ants by: (1) adopting a two-stage object detection framework using ResNet-50 as backbone and coding the position of regions of interest to locate ants accurately; (2) using the ResNet model to develop the appearance descriptors of ants; (3) constructing long-term appearance sequences and combining them with motion information to achieve online tracking. To validate our method, we build a video database of ant colony captured in both indoor and outdoor scenes. We achieve a state-of-the-art performance of 95.7% mMOTA and 81.1% mMOTP in indoor videos, 81.8% mMOTA and 81.9% mMOTP in outdoor videos. Our method runs 6-10 times faster than existing methods for insect tracking. The datasets and code are made publicly available, we aim to contribute to an automated tracking tool for biologists in relevant domains.Author summaryThe research on the group behavior of social insects is in great favor with biologists. But before analysis, each insect needs to be tracked separately in a video. Obviously, that is a time-consuming and labor-intensive work. In this manuscript, we introduce a detection and tracking framework that can automatically track the movement of ants in a video scene. The software first uses a residual network to detect the positions of ants, then learns the appearance descriptor of each ant as appearance information via another residual network. Furthermore, we obtain motion information of each ant by using the Kalman filter. Combining with appearance and motion information, we can accurately track every ant in the ant colony. We validate the performance of our framework using 4 indoor and 5 outdoor videos, including multiple ants. We invite interested readers to apply these methods using our freely available software.


2019 ◽  
Vol 265 ◽  
pp. 05010
Author(s):  
Maocai Zhao ◽  
Lu Zhang

As a result of rapid development of a high-speed railway and infrastructure in China in recent years, the subgrade deformation and settlement control standards put forward more stringent requirements. Based on ABAQUS 6.14, established finite element model of screw pile group composite foundation. Then obtained the settlement, axial force distribution and pile side resistance distribution of center pile of pile group. Next design parameters sensitive analysis was made, such as pile length, pile spacing and so on, in order to obtain a reasonable design pile parameters by analysis of mechanical behavior.


2014 ◽  
Vol 51 (7) ◽  
pp. 770-781 ◽  
Author(s):  
J.T. Shahu ◽  
Y.R. Reddy

Design charts for estimating long-term drained settlement of floating stone column group foundations are presented based on three-dimensional, elastoplastic, finite element analyses. In the analyses, the soft soil behavior is represented by the modified Cam-clay model while the stone column and mat are represented by the Mohr–Coulomb model. The finite element predictions are calibrated against model test results. A detailed parametric study of prototype stone column group foundations of various configurations is carried out to evaluate the relative importance of various foundation parameters on the group response. Next, finite element analyses of corresponding unit cells and single columns are performed. Reasonable correlations of load responses are found between single column and group behavior. Group and single column responses are then used to investigate Sg/S1 relationship with different foundation parameters, where Sg and S1 represent the settlement of the group and single column, respectively.


2016 ◽  
Author(s):  
Malte J. Rasch ◽  
Aobo Shi ◽  
Zilong Ji

AbstractQuantitative description and selective perturbation of individual animals in a social group is prerequisite for understanding complex social behaviors. Tracking behavioral patterns of individuals in groups is an active research field, however, reliable software tools for long-term or real-time tracking are still scarce. We developed a new open-source platform, calledxyTracker, for online tracking and recognition of individual animals in groups. Featuring a convenient Matlab-based interface and a fast multi-threading C++ core, we achieved an > 30× speed-up over a popular existing tracking method without loss in accuracy. Moreover, since memory usage is low, many hours of high-resolution video files can be tracked in reasonable time, making long-term observation of behavior possible. In a number of exemplary experiments on zebra fish, we show the feasibility of long-term observations and how to use the software to perform closed-loop experiments, where the tracked position of individuals is fed-back in real-time to a stimulus presentation screen installed below the fish-tank. Visual stimulation capabilities is incorporated intoxyTrackerand can be based on any behavioral features of all members of the group, such as, collective location, speed, or direction of movement, making interesting closed-loop experiments for investigating group behavior in a virtual reality setting possible.


2014 ◽  
Vol 51 (5) ◽  
pp. 479-495 ◽  
Author(s):  
Thayanan Boonyarak ◽  
Kullapat Phisitkul ◽  
Charles W.W. Ng ◽  
Wanchai Teparaksa ◽  
Zaw Zaw Aye

A 5.15 m diameter water diversion tunnel was driven into Bangkok stiff clay using an earth pressure balance shield. The tunnel was driven within a clear distance of 2 m from the closest pile of a 3 × 4 pile group supporting an expressway. During construction, tunnel driving parameters as well as induced ground and pile group responses were recorded. To avoid cutting the piles supporting the expressway, the alignment of the tunnel was adjusted and curved. As a result of this change in tunnel alignment, the tunnel advancing rate was reduced from an average 17 m/day for a straight drive to an average of only 6 m/day for the curved alignment, and the ratio between the tunnel face pressure and overburden pressure was changed from 0.5 to 0.4, accordingly. Due to the reduction of the tunnel face pressure, up to a 280% larger inward ground movement towards the tunnel was observed. As the shield penetration rate decreased, the torque required for tunnel driving was reduced by 33%, while the ratio between shield penetration rate and soil extraction was almost constant throughout the tunnel route. A transverse influence zone due to tunnel driving was identified to extend up to a distance that was twice the tunnel diameter radially from the longitudinal tunnel axis. The maximum tilting of the expressway pier and deduced differential settlement of the pile located within the influence zone were up to 1:2600 and 2.0 mm, respectively. Tilting of all the piers was mainly caused by long-term subsurface settlement having the tilting direction towards the tunnel. This long-term subsurface settlement was up to about 80% of the total.


2013 ◽  
Vol 1 (1) ◽  
pp. 13-36 ◽  
Author(s):  
P.O. Van Impe ◽  
W.F. Van Impe ◽  
L. Seminck

The aim of the paper is to discuss a fully instrumented screw pile load test up to failure, in difficult heterogeneous soil conditions along the shaft. The pre-stressing of the pile during its installation process has been brought to attention as an important item to assisting in explaining the differences in pile capacity and load settlement curve on the one hand, and the data as registered from the pile shaft instrumentation. In the second part of the paper, starting info on the registered load settlement data of the foundation slabs of each of the three, closely positioned, oil tanks of 48 m diameter and 19 m of height are shared and briefly analyzed.


1982 ◽  
Vol 22 (05) ◽  
pp. 775-783
Author(s):  
Glenn A. Kriger

Abstract A comprehensive set of guidelines for constructing linear models of single piles and pile groups for foundations of offshore structures is presented. These models are used as boundary conditions at the base of the superstructure, thus permitting independent analysis of the superstructure from its supporting foundation.This paper is a "how-to" text for piled foundation modeling. It is also of value to those in related disciplines, such as geotechnical specialists, who will gain insight into how their data is applied in analyzing structures supported by piled foundations. Discussions include the behavior and modeling of single piles and pile groups. Construction methods are presented for pile groups. Construction methods are presented for three types of pile models-matrix, springs, and equivalent pile. The advantages and disadvantages of each model type are described. Linear and nonlinear foundation behavior characteristics are treated in depth. Factors that influence the approach to a modeling problem are outlined. Emphasis is placed on providing the problem are outlined. Emphasis is placed on providing the reader with an understanding of the physical behavior of piled foundations and model construction. A step-by-step piled foundations and model construction. A step-by-step procedure for model synthesis is provided in an example. procedure for model synthesis is provided in an example. Introduction In a fixed offshore platform, the steel jacket superstructure and its supporting piled foundation are more conveniently analyzed if treated separately. There are major structural and behavior-al differences between the jacket and foundation, and the two do not lend themselves to similar analytical methods. This paper presents basic techniques for constructing linear models that simulate the foundation behavior at the superstructure/foundation boundary. Use of these models permits independent superstructure analyses. Selection of the model type and its degree of refinement are described from a global overview of the structure, available data, and ramification of analytical results. Construction of the foundation simulation model follows routine procedures using results of an independent foundation analysis. Single Pile Behavior The load-deflection behavior of a single pile crown is of key importance in model construction. Analysis of a pile embedded in soil is extremely difficult because of pile embedded in soil is extremely difficult because of the infinite dimensions, nonhomogeneity, and nonlinearity of the soil. As a practical necessity, the problem usually is simplified by treating the pile as a beam-column supported by nonlinear axial and lateral soil springs. Details of these analytical procedures are beyond the scope of this work, although application of the techniques presented here will require the availability of such an analytical tool. Although this material pertains to single piles, it forms the basis for understanding pertains to single piles, it forms the basis for understanding pile group behavior discussed later. pile group behavior discussed later. Fig. 1 depicts a right-hand orthogonal coordinate system, which is used throughout this paper. Displacements, s, and forces, F, are shown in each of the six degrees of freedom (DOF). The pile behavior is studied by observation of the force(s) required to produce displacement in each of the six DOF while all other displacements are held at zero. Of utmost importance is the effect of coupling-the interaction of forces (and displacements) in different DOF.First consider linear pile behavior, which is characteristic of small-magnitude loadings. Force and displacement are directly proportional; therefore, stiffness (force divided by displacement) remains constant for all values of displacement (Fig. 2).Fig. 3a shows that an axial displacement is produced by an axial force. This axial displacement requires no other forces in each of the remaining five DOF. Therefore, linear axial pile behavior is uncoupled. Similarly, a torsional displacement (Fig. 3b) requires only a torque along the same DOF and therefore is also lineally uncoupled. SPEJ p. 775


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