The Engineer Research and Development Center (ERDC) Coastal and Hydraulics Laboratory (CHL) maintains and operates extensive laboratory facilities used for designing and testing coastal structures. Large two-dimensional wave flumes are used to test designs for rubble-mound trunk armor stability and to quantify wave runup, overtopping and transmission. In addition, these wave flumes are used to explore the physics of water wave propagation, wave transformation and wave-structure interaction. These flumes are also used for experimental investigation of sediment transport in wave and steady current environments.
Flume Flume (2012) | Updatedl
Two glass-walled wave flumes are used to support research and site-specific studies. The flumes are both 63 m (208 ft) long and 1.5 m (5 ft) deep. One flume is 1.5 m (5 ft) wide while the other is 3 m (10 ft) wide. Both two-dimensional glass-walled flumes are equipped with computer-controlled electro-hydraulic wave generators. The wave generators are capable of creating irregular waves with a maximum wave height of 0.46 m (1.5 ft), and wave periods of 0.75-10.0 secs. A steady flow system is also an integral part of the flumes. The facility includes an automated data acquisition and control system, extensive fluid measurement instruments and a laser profiling system.
mkdir -p /usr/lib/flume-ng/plugins.d/MyFlumeSource/lib/MyFlumeSource.jarmkdir -p /var/lib/flume-ng/plugins.d/MyFlumeSource/lib/MyFlumeSource.jarchown -R flume:flume /usr/lib/flume-ng/chown -R flume:flume /var/lib/flume-ng/Also in /etc/flume-ng/conf/flume-env.shFLUME_CLASSPATH="/usr/lib/flume-ng/plugins.d/MyFlumeSource/lib/MyFlumeSource.jar"Updated the Flume configuration file as# Name the components on this agenttail1.sources = seq-sourcetail1.channels = mem-channeltail1.sinks = hdfs-sink
# Describe the sinktail1.sinks.hdfs-sink.type = hdfstail1.sinks.hdfs-sink.hdfs.path = /user/flumetail1.sinks.hdfs-sink.hdfs.filePrefix = logtail1.sinks.hdfs-sink.hdfs.rollInterval = 0tail1.sinks.hdfs-sink.hdfs.rollCount = 10000tail1.sinks.hdfs-sink.hdfs.fileType = DataStream
ERROR node.PollingPropertiesFileConfigurationProvider: Failed to load configuration data. Exception follows.org.apache.flume.FlumeException: Unable to create source: seq-source, type: org.custom.flume.source.MySource, class: org.custom.flume.source.MySourceat org.apache.flume.source.DefaultSourceFactory.create(DefaultSourceFactory.java:48)at org.apache.flume.node.AbstractConfigurationProvider.loadSources(AbstractConfigurationProvider.java:322)at org.apache.flume.node.AbstractConfigurationProvider.getConfiguration(AbstractConfigurationProvider.java:97)at org.apache.flume.node.PollingPropertiesFileConfigurationProvider$FileWatcherRunnable.run(PollingPropertiesFileConfigurationProvider.java:140)at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:471)at java.util.concurrent.FutureTask.runAndReset(FutureTask.java:304)at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$301(ScheduledThreadPoolExecutor.java:178)at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:293)at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)at java.lang.Thread.run(Thread.java:745)Caused by: java.lang.InstantiationExceptionat sun.reflect.InstantiationExceptionConstructorAccessorImpl.newInstance(InstantiationExceptionConstructorAccessorImpl.java:48)at java.lang.reflect.Constructor.newInstance(Constructor.java:526)at java.lang.Class.newInstance(Class.java:379)at org.apache.flume.source.DefaultSourceFactory.create(DefaultSourceFactory.java:44)... 10 more
Modified Parshall Flume on Heart River near South Heart, North Dakota. For more information on the use of flumes to aid in the determination of streamflow, see volumes 1 and 2 of the USGS Water Supply Paper, Measurement and Computation of Streamflow.
In Montrose County, Colorado, an incredible feat of mining engineering clings to sheer canyon walls above the Dolores and San Miguel rivers. Built in the 1880s, the Hanging Flume carried the water used to extract the fine gold from placer deposits. The flume has captivated historians and tourists alike, but no one has been able to determine exactly how it was built in just a few years in such a remote and inhospitable location.
The Colorado Gold Rush began in 1858, but it would be another 30 years before Ute lands in the San Juan Mountains were opened to mineral exploitation. In 1887 the Montrose Placer Mining Company purchased several claims along the Dolores River and quickly commissioned the construction of a ten-mile long flume to carry water to the gold deposits. The structure was completed in two years, by perhaps two dozen men hauling hundreds of thousands of board feet of lumber over wagon trails and building forges on-site to shape the iron rods that pin the flume to the canyon walls.
These and other questions remain unanswered. Several expeditions to document the flume have yielded tantalizing clues. Seven distinct framing methods have been identified for the timber and iron supports, but with only about ten percent of the flume documented, there could be more clues waiting to be discovered.
The Interpretive Association of Western Colorado (IAWC) is raising funds to send the original project team of historians, wood scientists, engineers and difficult access experts to investigate remaining sections of the flume. Sun, wind and water continue to degrade the flume timbers, and the team hopes to gather more information before key sections of the structure are lost forever. The IAWC is accepting contributions for this next phase of investigation.
2020-03-03 16:24:49 ERROR (MainThread) [custom_components.weatheralerts.sensor] 'NoneType' object has no attribute 'alerts' 2020-03-03 16:24:49 ERROR (MainThread) [homeassistant.components.sensor] Error while setting up platform flume Traceback (most recent call last): File "/usr/src/homeassistant/homeassistant/helpers/entity_platform.py", line 150, in _async_setup_platform await asyncio.wait_for(asyncio.shield(task), SLOW_SETUP_MAX_WAIT) File "/usr/local/lib/python3.7/asyncio/tasks.py", line 442, in wait_for return fut.result() File "/usr/local/lib/python3.7/concurrent/futures/thread.py", line 57, in run result = self.fn(*self.args, **self.kwargs) File "/config/custom_components/flume/sensor.py", line 41, in setup_platform CONF_CLIENT_SECRET: config.get(CONF_CLIENT_SECRET) File "/config/custom_components/flume/flume_homeassistant.py", line 81, in __init__ self.fetch_tokens() File "/config/custom_components/flume/flume_homeassistant.py", line 116, in fetch_tokens self.load_tokens(self.token_request(payload)) File "/config/custom_components/flume/flume_homeassistant.py", line 97, in token_request return response['data'][0] IndexError: list index out of range 2020-03-03 16:24:53 ERROR (MainThread) [homeassistant.components.websocket_api.http.connection.14] Error handling message: Unauthorized 2020-03-03 16:24:53 ERROR (MainThread) [homeassistant.helpers.entity] Update for image_processing.frontdoor_person_detector fails
The dry wooden chute became something of a curiosity for locals, some of whom walked the flume for thrills. Eventually, they started stripping boards from the structure to use in the construction of homes and uranium mines.
Those losses of major pieces of the flume, combined with the fact that there are no written design records or construction photographs of the original flume, contribute to its mystery and allure for those with a scientific bent.
Smoothed Particle Hydrodynamics (SPH) is one kind of mesh-free method with excellent adaptive nature for simulating fluid motion. A two-dimensional numerical wave flume is established with SPH method. An absorbing wavemaker boundary condition for particle method and layout of sponge layer are present. The capacity of absorbing second reflecting waves and incoming waves for absorbing wavemaker and sponge layer is validated through comparison of the numerical results with general wavemaker and solid boundary, respectively.
SPH is a relatively new numerical method developed in computing fields of hydrodynamics. It is a mesh-less and pure Lagrangian method using a series of particles to simulate continuum fluid and estimate the relevant partial differential equations. It can overcome many problems existing in grid-based approach during solving process (Benz, 1989; Benz, 1990; Monaghan, 1992; Sun 2007). The numerical wave flume is one of the main tools to research problems such as wave breaking and wave-structure interactions in coastal areas (Lo, 2002; Dalrymple and Rogers, 2006). However, the multiple reflections of waves in traditional numerical flume reduce the accuracy and reliability of the model. Therefore, absorbing wavemaker and sponge layer are put forward to absorb the second reflecting waves from the wavemaker and the incident waves respectively. Liu and Zhao (1999) developed a numerical wave flume based on NS equation and the finite-element method, in which the open boundary used Sommerfeld's radialization boundary conditions and artificial attenuation layer, and around the incident boundary, a speed attenuation region was set to absorb secondary reflected waves. Shi et al. (2004) set up a numerical wave flume based on the Laplace equation and boundary element method, in which waves were made by the wave-making paddle, using Mitsuyasu-Bretschneider spectrum as the control signals, and the virtual wave absorbing and permeable layer were set at the open boundary. 2ff7e9595c
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