5.7. OTHER MODELING CONSIDERATIONS
229
• Bathymetry adjacent to the structure (3-d studies)
• Still water depth at the seaward toe of the structure
• Tide range and estimated largest wind setup and surge
level
• Comprehensive wave data (long-term measurements or hindcasts) sufficient to estimate statistical frequency of occurrence for different wave heights and periods
• Information necessary to transfer wave data to the water
depth being represented at the wave board in the model.
• Foundation materials
• Extent of damage that can be tolerated by the structure
(rubble-mound structures)
A typical testing program will begin by testing the structure configurations) as originally designed. Depending on the results of the initial
model tests, additional tests may be conducted to optimize the design or to
modify the original design to provide a better functioning, more economical
structure. For this reason it is important that
Analysis and interpretation of test results be done during the test program.
This allows changing of test conditions, and even the general thrust of the
program, as may be indicated by model test results.
With respect to rubble-mound structures, Hudson, et al. (1979) cautioned that
The interpretation of test results from rubble-mound stability
models is difficult even when care is taken in the construction
of the test sections and the measurement of the wave conditions.
This stems from the difficulty in differentiating between levels of actual
damage to the armor layer, and the experience of the model engineer could
influence this determination.
Project economics can enter into the testing program for rubble-mound
structures. In some instances, model tests may indicate structure damage at
a wave condition that has a low frequency of occurrence. Over the projected
life of the structure, it may be more economical to repair the structure than
to design for no damage; and it is the job of the model engineer to give the
project designer information to help evaluate these options.
Model construction experience also plays a key role in the accuracy
of scale model results, and this is particularly important in the case of
229
• Bathymetry adjacent to the structure (3-d studies)
• Still water depth at the seaward toe of the structure
• Tide range and estimated largest wind setup and surge
level
• Comprehensive wave data (long-term measurements or hindcasts) sufficient to estimate statistical frequency of occurrence for different wave heights and periods
• Information necessary to transfer wave data to the water
depth being represented at the wave board in the model.
• Foundation materials
• Extent of damage that can be tolerated by the structure
(rubble-mound structures)
A typical testing program will begin by testing the structure configurations) as originally designed. Depending on the results of the initial
model tests, additional tests may be conducted to optimize the design or to
modify the original design to provide a better functioning, more economical
structure. For this reason it is important that
Analysis and interpretation of test results be done during the test program.
This allows changing of test conditions, and even the general thrust of the
program, as may be indicated by model test results.
With respect to rubble-mound structures, Hudson, et al. (1979) cautioned that
The interpretation of test results from rubble-mound stability
models is difficult even when care is taken in the construction
of the test sections and the measurement of the wave conditions.
This stems from the difficulty in differentiating between levels of actual
damage to the armor layer, and the experience of the model engineer could
influence this determination.
Project economics can enter into the testing program for rubble-mound
structures. In some instances, model tests may indicate structure damage at
a wave condition that has a low frequency of occurrence. Over the projected
life of the structure, it may be more economical to repair the structure than
to design for no damage; and it is the job of the model engineer to give the
project designer information to help evaluate these options.
Model construction experience also plays a key role in the accuracy
of scale model results, and this is particularly important in the case of