Design, Construction and Performance of a Soil-Bentonite Cutoff Wall Constructed in Two Stages

2009 ◽  
pp. 289-289-20 ◽  
Author(s):  
MA Khoury ◽  
PH Fayad ◽  
RS Ladd
Keyword(s):  
Cutoff Wall ◽  
And Performance ◽  
Two Stages ◽  
Design Construction

Design, construction, and performance of a slurry trench wall next to foundations

1977 ◽  
Vol 14 (3) ◽  
pp. 324-339
Author(s):  
Peter Rosenberg ◽  
G. St.-Arnaud ◽  
N. L. Journeaux ◽  
H. Vallée
Keyword(s):  
Ground Level ◽  
Engineering Problem ◽  
Existing Structures ◽  
Slurry Trench ◽  
Below Ground ◽  
Crack Movement ◽  
And Performance ◽  
The Stability ◽  
Two Stages ◽  
Design Construction

The stability of excavations adjacent to existing structures is an engineering problem and challenge. With the amount of construction increasing many such excavations are being planned and constructed. This paper documents the design, construction, and performance of a tied-back retaining system constructed by the slurry trench method. The system was necessary to retain the sides of a 30-ft (9.1-m) deep cut in glacial till immediately adjacent to the heavily loaded foundations of historically important and settlement sensitive structures. The main structures next to the excavation included the façade of the south transept and the 266-ft (81.1-m) high steeple of St. Jacques Church. Foundation loads imposed by these structures vary from 5.5 to 6.5 tons/ft2 (527–622 kPa)at a depth of 5 ft (1.5 m) below ground level. The slurry trench, up to 50 ft (15.3 m) in depth, approached to within 8 ft (2.44 m) of these foundations. Excavation was in two stages with tiebacks holding the wall at each level. The slurry trench and surrounding structures were instrumented using settlement points, crack movement devices, horizontal measurement points, inclinometers, and load cells. The soil investigation and design methods adopted are described.

scholarly journals Design, Construction and Performance Evaluation of a Model Waste Stabilization Pond

2014 ◽  
Vol 7 (9) ◽  
pp. 1710-1714
Author(s):  
C.C. Egwuonwu ◽  
V.C. Okafor ◽  
N.C. Ezeanya ◽  
C. Nzediegwu ◽  
A. Suleiman ◽  
...  
Keyword(s):  
Performance Evaluation ◽  
Stabilization Pond ◽  
Waste Stabilization Pond ◽  
Waste Stabilization ◽  
And Performance ◽  
Design Construction

Intellectual capital and performance of listed companies: empirical evidence from Italy

2014 ◽  
Vol 18 (1) ◽  
pp. 22-35 ◽  
Author(s):  
Domenico Celenza ◽  
Fabrizio Rossi
Keyword(s):  
Explanatory Power ◽  
Value Added ◽  
Listed Companies ◽  
Cross Sectional ◽  
Content Type ◽  
Accounting Performance ◽  
And Performance ◽  
The One ◽  
Two Stages ◽  
The Relationship

Purpose – The aim of this paper is to investigate the relationship between corporate performance and Value Added Intellectual Coefficient (VAICTM) on the one hand, and the relationship between the variations in market value and the variations in VAIC on the other hand. Design/methodology/approach – Starting from the VAIC model, 23 Italian listed companies were examined with the aim of investigating the relationship between VAIC and the performance of the firms in the sample. The analysis was divided into two stages. In the first stage, eight models of linear regression were estimated to verify the presence of a positive and statistically significant relationship between M/BV and VAIC and between accounting performance indicators (ROE, ROI, ROS) and the VAIC. In the second stage, six other models were tested, considering as an independent variable the variations in VAIC and the variations in profitability indicators. Findings – The outcomes of the application stress the importance of VAIC in the explanation of the variations in MV and its role as “additional coefficient” in the analysis of equity performance. Originality/value – This methodology highlights some very interesting aspects. In particular, whereas the relationship between M/BV and VAIC and between profitability indicators (ROI, ROE, ROS) and VAIC is statistically insignificant, the subsequent analysis highlights the importance of VAIC as a variable capable of increasing the explanatory power of the regression in a cross-sectional perspective.

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